Ganesh Bagler
Computational Gastronomy Pioneer | Making Food Computable
Research Expertise
About
Publications
Analysis of the airport network of India as a complex weighted network
Physica A: Statistical Mechanics and its Applications / May 01, 2008
Bagler, G. (2008). Analysis of the airport network of India as a complex weighted network. Physica A: Statistical Mechanics and Its Applications, 387(12), 2972–2980. https://doi.org/10.1016/j.physa.2008.01.077
FlavorDB: a database of flavor molecules
Nucleic Acids Research / Oct 20, 2017
Garg, N., Sethupathy, A., Tuwani, R., NK, R., Dokania, S., Iyer, A., Gupta, A., Agrawal, S., Singh, N., Shukla, S., Kathuria, K., Badhwar, R., Kanji, R., Jain, A., Kaur, A., Nagpal, R., & Bagler, G. (2017). FlavorDB: a database of flavor molecules. Nucleic Acids Research, 46(D1), D1210–D1216. https://doi.org/10.1093/nar/gkx957
Network properties of protein structures
Physica A: Statistical Mechanics and its Applications / Feb 01, 2005
Bagler, G., & Sinha, S. (2005). Network properties of protein structures. Physica A: Statistical Mechanics and Its Applications, 346(1–2), 27–33. https://doi.org/10.1016/j.physa.2004.08.046
Assortative mixing in Protein Contact Networks and protein folding kinetics
Bioinformatics / May 22, 2007
Bagler, G., & Sinha, S. (2007). Assortative mixing in Protein Contact Networks and protein folding kinetics. Bioinformatics, 23(14), 1760–1767. https://doi.org/10.1093/bioinformatics/btm257
Engineering a thermo-stable superoxide dismutase functional at sub-zero to >50°C, which also tolerates autoclaving
Scientific Reports / Apr 30, 2012
Kumar, A., Dutt, S., Bagler, G., Ahuja, P. S., & Kumar, S. (2012). Engineering a thermo-stable superoxide dismutase functional at sub-zero to >50°C, which also tolerates autoclaving. Scientific Reports, 2(1). https://doi.org/10.1038/srep00387
Tyrosine- and tryptophan-coated gold nanoparticles inhibit amyloid aggregation of insulin
Amino Acids / Jul 21, 2015
Dubey, K., Anand, B. G., Badhwar, R., Bagler, G., Navya, P. N., Daima, H. K., & Kar, K. (2015). Tyrosine- and tryptophan-coated gold nanoparticles inhibit amyloid aggregation of insulin. Amino Acids, 47(12), 2551–2560. https://doi.org/10.1007/s00726-015-2046-6
Analysis of Food Pairing in Regional Cuisines of India
PLOS ONE / Oct 02, 2015
Jain, A., N K, R., & Bagler, G. (2015). Analysis of Food Pairing in Regional Cuisines of India. PLOS ONE, 10(10), e0139539. https://doi.org/10.1371/journal.pone.0139539
Phytochemica: a platform to explore phytochemicals of medicinal plants
Database / Jan 01, 2015
Pathania, S., Ramakrishnan, S. M., & Bagler, G. (2015). Phytochemica: a platform to explore phytochemicals of medicinal plants. Database, 2015, bav075. https://doi.org/10.1093/database/bav075
Prospecting for Novel Plant-Derived Molecules of Rauvolfia serpentina as Inhibitors of Aldose Reductase, a Potent Drug Target for Diabetes and Its Complications
PLoS ONE / Apr 17, 2013
Pathania, S., Randhawa, V., & Bagler, G. (2013). Prospecting for Novel Plant-Derived Molecules of Rauvolfia serpentina as Inhibitors of Aldose Reductase, a Potent Drug Target for Diabetes and Its Complications. PLoS ONE, 8(4), e61327. https://doi.org/10.1371/journal.pone.0061327
BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules
Scientific Reports / May 09, 2019
Tuwani, R., Wadhwa, S., & Bagler, G. (2019). BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-43664-y
RecipeDB: a resource for exploring recipes
Database / Jan 01, 2020
Batra, D., Diwan, N., Upadhyay, U., Kalra, J. S., Sharma, T., Sharma, A. K., Khanna, D., Marwah, J. S., Kalathil, S., Singh, N., Tuwani, R., & Bagler, G. (2020). RecipeDB: a resource for exploring recipes. Database, 2020. https://doi.org/10.1093/database/baaa077
Data-driven analysis of biomedical literature suggests broad-spectrum benefits of culinary herbs and spices
PLOS ONE / May 29, 2018
Rakhi, N. K., Tuwani, R., Mukherjee, J., & Bagler, G. (2018). Data-driven analysis of biomedical literature suggests broad-spectrum benefits of culinary herbs and spices. PLOS ONE, 13(5), e0198030. https://doi.org/10.1371/journal.pone.0198030
SerpentinaDB: a database of plant-derived molecules of Rauvolfia serpentina
BMC Complementary and Alternative Medicine / Aug 04, 2015
Pathania, S., Ramakrishnan, S. M., Randhawa, V., & Bagler, G. (2015). SerpentinaDB: a database of plant-derived molecules of Rauvolfia serpentina. BMC Complementary and Alternative Medicine, 15(1). https://doi.org/10.1186/s12906-015-0683-7
Identification of critical regulatory genes in cancer signaling network using controllability analysis
Physica A: Statistical Mechanics and its Applications / May 01, 2017
Ravindran, V., V., S., & Bagler, G. (2017). Identification of critical regulatory genes in cancer signaling network using controllability analysis. Physica A: Statistical Mechanics and Its Applications, 474, 134–143. https://doi.org/10.1016/j.physa.2017.01.059
Network controllability analysis of intracellular signalling reveals viruses are actively controlling molecular systems
Scientific Reports / Feb 14, 2019
Ravindran, V., Nacher, J. C., Akutsu, T., Ishitsuka, M., Osadcenco, A., Sunitha, V., Bagler, G., Schwartz, J.-M., & Robertson, D. L. (2019). Network controllability analysis of intracellular signalling reveals viruses are actively controlling molecular systems. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-018-38224-9
An Approach for the Identification of Targets Specific to Bone Metastasis Using Cancer Genes Interactome and Gene Ontology Analysis
PLoS ONE / Nov 14, 2012
Vashisht, S., & Bagler, G. (2012). An Approach for the Identification of Targets Specific to Bone Metastasis Using Cancer Genes Interactome and Gene Ontology Analysis. PLoS ONE, 7(11), e49401. https://doi.org/10.1371/journal.pone.0049401
A Named Entity Based Approach to Model Recipes
2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW) / Apr 01, 2020
Diwan, N., Batra, D., & Bagler, G. (2020, April). A Named Entity Based Approach to Model Recipes. 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW). https://doi.org/10.1109/icdew49219.2020.000-2
Capsaicin inhibits collagen fibril formation and increases the stability of collagen fibers
European Biophysics Journal / Dec 21, 2014
Perumal, S., Dubey, K., Badhwar, R., George, K. J., Sharma, R. K., Bagler, G., Madhan, B., & Kar, K. (2014). Capsaicin inhibits collagen fibril formation and increases the stability of collagen fibers. European Biophysics Journal, 44(1–2), 69–76. https://doi.org/10.1007/s00249-014-1002-9
Control of Neuronal Network in Caenorhabditis elegans
PLOS ONE / Sep 28, 2015
Badhwar, R., & Bagler, G. (2015). Control of Neuronal Network in Caenorhabditis elegans. PLOS ONE, 10(9), e0139204. https://doi.org/10.1371/journal.pone.0139204
Identification of SRC as a Potent Drug Target for Asthma, Using an Integrative Approach of Protein Interactome Analysis andIn SilicoDrug Discovery
OMICS: A Journal of Integrative Biology / Oct 01, 2012
Randhawa, V., & Bagler, G. (2012). Identification of SRC as a Potent Drug Target for Asthma, Using an Integrative Approach of Protein Interactome Analysis andIn SilicoDrug Discovery. OMICS: A Journal of Integrative Biology, 16(10), 513–526. https://doi.org/10.1089/omi.2011.0160
Identification of Key Nodes of Type 2 Diabetes Mellitus Protein Interactome and Study of their Interactions with Phloridzin
OMICS: A Journal of Integrative Biology / Jun 01, 2013
Randhawa, V., Sharma, P., Bhushan, S., & Bagler, G. (2013). Identification of Key Nodes of Type 2 Diabetes Mellitus Protein Interactome and Study of their Interactions with Phloridzin. OMICS: A Journal of Integrative Biology, 17(6), 302–317. https://doi.org/10.1089/omi.2012.0115
Object Detection in Indian Food Platters using Transfer Learning with YOLOv4
2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW) / May 01, 2022
Pandey, D., Parmar, P., Toshniwal, G., Goel, M., Agrawal, V., Dhiman, S., Gupta, L., & Bagler, G. (2022). Object Detection in Indian Food Platters using Transfer Learning with YOLOv4. 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW), 101–106. https://doi.org/10.1109/icdew55742.2022.00021
Computational gastronomy: A data science approach to food
Journal of Biosciences / Jan 27, 2022
Goel, M., & Bagler, G. (2022). Computational gastronomy: A data science approach to food. Journal of Biosciences, 47(1). https://doi.org/10.1007/s12038-021-00248-1
Differential Network Analysis Reveals Evolutionary Complexity in Secondary Metabolism of Rauvolfia serpentina over Catharanthus roseus
Frontiers in Plant Science / Aug 18, 2016
Pathania, S., Bagler, G., & Ahuja, P. S. (2016). Differential Network Analysis Reveals Evolutionary Complexity in Secondary Metabolism of Rauvolfia serpentina over Catharanthus roseus. Frontiers in Plant Science, 7. https://doi.org/10.3389/fpls.2016.01229
Machine learning models to predict sweetness of molecules
Computers in Biology and Medicine / Jan 01, 2023
Goel, M., Sharma, A., Chilwal, A. S., Kumari, S., Kumar, A., & Bagler, G. (2023). Machine learning models to predict sweetness of molecules. Computers in Biology and Medicine, 152, 106441. https://doi.org/10.1016/j.compbiomed.2022.106441
Culinary evolution models for Indian cuisines
Physica A: Statistical Mechanics and its Applications / Aug 01, 2018
Jain, A., & Bagler, G. (2018). Culinary evolution models for Indian cuisines. Physica A: Statistical Mechanics and Its Applications, 503, 170–176. https://doi.org/10.1016/j.physa.2018.02.176
Designing evolvable libraries using multi-body potentials
Current Opinion in Biotechnology / Aug 01, 2009
Lappe, M., Bagler, G., Filippis, I., Stehr, H., Duarte, J. M., & Sathyapriya, R. (2009). Designing evolvable libraries using multi-body potentials. Current Opinion in Biotechnology, 20(4), 437–446. https://doi.org/10.1016/j.copbio.2009.07.008
Comment on the Paper Titled ’The Origin of Quantum Mechanical Statistics: Insights from Research on Human Language’ (arXiv preprint arXiv:2407.14924, 2024)
Dec 02, 2024
Sienicki, K. (2024). Comment on the Paper Titled ’The Origin of Quantum Mechanical Statistics: Insights from Research on Human Language’ (arXiv preprint arXiv:2407.14924, 2024). https://doi.org/10.20944/preprints202411.2377.v1
Computational Models for the Evolution of World Cuisines
2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW) / Apr 01, 2019
Tuwani, R., Sahoo, N., Singh, N., & Bagler, G. (2019). Computational Models for the Evolution of World Cuisines. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), 85–90. https://doi.org/10.1109/icdew.2019.00-30
Data-Driven Investigations of Culinary Patterns in Traditional Recipes Across the World
2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW) / Apr 01, 2018
Bagler, G., & Singh, N. (2018). Data-Driven Investigations of Culinary Patterns in Traditional Recipes Across the World. 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW), 157–162. https://doi.org/10.1109/icdew.2018.00033
FlavorDB2: An updated database of flavor molecules
Journal of Food Science / Sep 24, 2024
Goel, M., Grover, N., Batra, D., Garg, N., Tuwani, R., Sethupathy, A., & Bagler, G. (2024). FlavorDB2: An updated database of flavor molecules. Journal of Food Science, 89(11), 7076–7082. Portico. https://doi.org/10.1111/1750-3841.17298
Phenotypic side effects prediction by optimizing correlation with chemical and target profiles of drugs
Molecular BioSystems / Jan 01, 2015
Kanji, R., Sharma, A., & Bagler, G. (2015). Phenotypic side effects prediction by optimizing correlation with chemical and target profiles of drugs. Molecular BioSystems, 11(11), 2900–2906. https://doi.org/10.1039/c5mb00312a
Nutritional Profile Estimation in Cooking Recipes
2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW) / Apr 01, 2020
Kalra, J., Batra, D., Diwan, N., & Bagler, G. (2020). Nutritional Profile Estimation in Cooking Recipes. 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW), 82–87. https://doi.org/10.1109/icdew49219.2020.000-3
A hierarchical anatomical classification schema for prediction of phenotypic side effects
PLOS ONE / Mar 01, 2018
Wadhwa, S., Gupta, A., Dokania, S., Kanji, R., & Bagler, G. (2018). A hierarchical anatomical classification schema for prediction of phenotypic side effects. PLOS ONE, 13(3), e0193959. https://doi.org/10.1371/journal.pone.0193959
RAV1 family members function as
transcriptional regulators and play a
positive role in plant disease resistance
The Plant Journal / Feb 13, 2023
Chandan, R. K., Kumar, R., Swain, D. M., Ghosh, S., Bhagat, P. K., Patel, S., Bagler, G., Sinha, A. K., & Jha, G. (2023). <scp>RAV1</scp> family members function as transcriptional regulators and play a positive role in plant disease resistance. The Plant Journal, 114(1), 39–54. Portico. https://doi.org/10.1111/tpj.16114
Ratatouille: A tool for Novel Recipe Generation
2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW) / May 01, 2022
Goel, M., Chakraborty, P., Ponnaganti, V., Khan, M., Tatipamala, S., Saini, A., & Bagler, G. (2022). Ratatouille: A tool for Novel Recipe Generation. 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW), 107–110. https://doi.org/10.1109/icdew55742.2022.00022
Re-analysis of protein data reveals the germination pathway and up accumulation mechanism of cell wall hydrolases during the radicle protrusion step of seed germination in Podophyllum hexandrum- a high altitude plant
Frontiers in Plant Science / Oct 26, 2015
Dogra, V., Bagler, G., & Sreenivasulu, Y. (2015). Re-analysis of protein data reveals the germination pathway and up accumulation mechanism of cell wall hydrolases during the radicle protrusion step of seed germination in Podophyllum hexandrum- a high altitude plant. Frontiers in Plant Science, 6. https://doi.org/10.3389/fpls.2015.00874
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities
Proceedings of the 28th International Conference on Computational Linguistics / Jan 01, 2020
Agarwal, Y., Batra, D., & Bagler, G. (2020). Building Hierarchically Disentangled Language Models for Text Generation with Named Entities. Proceedings of the 28th International Conference on Computational Linguistics, 26–38. https://doi.org/10.18653/v1/2020.coling-main.3
A distance constrained synaptic plasticity model of C. elegans neuronal network
Physica A: Statistical Mechanics and its Applications / Mar 01, 2017
Badhwar, R., & Bagler, G. (2017). A distance constrained synaptic plasticity model of C. elegans neuronal network. Physica A: Statistical Mechanics and Its Applications, 469, 313–322. https://doi.org/10.1016/j.physa.2016.11.055
The role of heterogeneity on the spatiotemporal dynamics of host–parasite metapopulation
Ecological Modelling / Dec 01, 2004
Singh, B. K., Rao, J. S., Ramaswamy, R., & Sinha, S. (2004). The role of heterogeneity on the spatiotemporal dynamics of host–parasite metapopulation. Ecological Modelling, 180(2–3), 435–443. https://doi.org/10.1016/j.ecolmodel.2004.04.031
Graph Signal Processing on protein residue networks helps in studying its biophysical properties
Physica A: Statistical Mechanics and its Applications / Apr 01, 2023
Srivastava, D., Bagler, G., & Kumar, V. (2023). Graph Signal Processing on protein residue networks helps in studying its biophysical properties. Physica A: Statistical Mechanics and Its Applications, 615, 128603. https://doi.org/10.1016/j.physa.2023.128603
Network controllability: viruses are driver agents in dynamic molecular systems
May 02, 2018
Ravindran, V., Nacher, J. C., Akutsu, T., Ishitsuka, M., Osadcenco, A., Sunitha, V., Bagler, G., Schwartz, J.-M., & Robertson, D. L. (2018). Network controllability: viruses are driver agents in dynamic molecular systems. https://doi.org/10.1101/311746
Graph theoretical biomarkers for schizophrenic Brain Functional Networks
2016 International Conference on Signal Processing and Communication (ICSC) / Dec 01, 2016
Singh, M., Badhwar, R., & Bagler, G. (2016). Graph theoretical biomarkers for schizophrenic Brain Functional Networks. 2016 International Conference on Signal Processing and Communication (ICSC), 289–294. https://doi.org/10.1109/icspcom.2016.7980593
Chinese Fine-grained Named Entity Recognition based on Deep Learning
Journal of Social Science and Humanities / Apr 30, 2024
Chinese Fine-grained Named Entity Recognition based on Deep Learning. (2024). Journal of Social Science and Humanities. https://doi.org/10.53469/jrse.2024.06(04).16
FoodPrint: Computing Carbon Footprint of Recipes
2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW) / May 01, 2022
Piplani, P., Gulati, P., Malik, S., Goyal, S., Gurbaxani, M., & Bagler, G. (2022). FoodPrint: Computing Carbon Footprint of Recipes. 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW), 95–100. https://doi.org/10.1109/icdew55742.2022.00020
Hierarchical Clustering of World Cuisines
2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW) / Apr 01, 2020
Sharma, T., Upadhyay, U., Kalra, J., Arora, S., Ahmad, S., Aggarwal, B., & Bagler, G. (2020). Hierarchical Clustering of World Cuisines. 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW), 98–104. https://doi.org/10.1109/icdew49219.2020.00007
SpiceRx: an integrated resource for the health impacts of culinary spices and herbs
Feb 28, 2018
Nk, R., Tuwani, R., Garg, N., Mukherjee, J., & Bagler, G. (2018). SpiceRx: an integrated resource for the health impacts of culinary spices and herbs. https://doi.org/10.1101/273599
Herman Salton, Arctic Host, Icy Visit: China and Falun Gong Face Off in Iceland (Saarbrücken: LAP Lambert Academic Publishing, 2010)
Nordicum-Mediterraneum / Jan 01, 2012
Einarsdóttir, A., & Zhang, T. (2012). Herman Salton, Arctic Host, Icy Visit: China and Falun Gong Face Off in Iceland (Saarbrücken: LAP Lambert Academic Publishing, 2010). Nordicum-Mediterraneum, 7(1). https://doi.org/10.33112/nm.7.1.6
Computational gastronomy: capturing culinary creativity by making food computable
npj Systems Biology and Applications / Jul 08, 2024
Bagler, G., & Goel, M. (2024). Computational gastronomy: capturing culinary creativity by making food computable. Npj Systems Biology and Applications, 10(1). https://doi.org/10.1038/s41540-024-00399-5
Investigating the link between miR-34a-5p and TLR6 signaling in sepsis-induced ARDS
3 Biotech / Jul 24, 2023
Khan, M. J., Singh, P., Jha, P., Nayek, A., Malik, Md. Z., Bagler, G., Kumar, B., Ponnusamy, K., Ali, S., Chopra, M., Dohare, R., Singh, I. K., & Syed, M. A. (2023). Investigating the link between miR-34a-5p and TLR6 signaling in sepsis-induced ARDS. 3 Biotech, 13(8). https://doi.org/10.1007/s13205-023-03700-1
Classification of Cuisines from Sequentially Structured Recipes
2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW) / Apr 01, 2020
Sharma, T., Upadhyay, U., & Bagler, G. (2020). Classification of Cuisines from Sequentially Structured Recipes. 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW), 105–108. https://doi.org/10.1109/icdew49219.2020.00008
Supervised learning of protein thermal stability using sequence mining and distribution statistics of network centrality
Sep 24, 2019
Sharma, A., Bagler, G., & Bera, D. (2019). Supervised learning of protein thermal stability using sequence mining and distribution statistics of network centrality. https://doi.org/10.1101/777177
Robust Sigmoidal Control Response of C. elegans Neuronal Network
Lecture Notes in Computer Science / Jan 01, 2017
Badhwar, R., & Bagler, G. (2017). Robust Sigmoidal Control Response of C. elegans Neuronal Network. In Rough Sets (pp. 393–402). Springer International Publishing. https://doi.org/10.1007/978-3-319-60840-2_29
Controllability of human cancer signaling network
2016 International Conference on Signal Processing and Communication (ICSC) / Dec 01, 2016
Ravindran, V., Sunitha, V., & Bagler, G. (2016). Controllability of human cancer signaling network. 2016 International Conference on Signal Processing and Communication (ICSC), 363–367. https://doi.org/10.1109/icspcom.2016.7980607
A Data and Informatics Driven Drug Discovery Framework to Bridge Traditional and Modern Medicine
Advanced Techniques in Biology & Medicine / Jan 01, 2015
Pande, S., & Bagler, G. (2015). A Data and Informatics Driven Drug Discovery Framework to Bridge Traditional and Modern Medicine. Advanced Techniques in Biology & Medicine, 03(03). https://doi.org/10.4172/2379-1764.1000141
Proteomics Potential and Its Contribution toward Sustainable Agriculture
Agroecology, Ecosystems, and Sustainability / Nov 20, 2014
Proteomics Potential and Its Contribution toward Sustainable Agriculture. (2014). In Agroecology, Ecosystems, and Sustainability (pp. 168–197). CRC Press. https://doi.org/10.1201/b17775-12
Cultural context shapes the carbon footprints of recipes
International Journal of Gastronomy and Food Science / Dec 01, 2024
Goel, M., Nathavani, V., Dharaiya, S., Kothadia, V., Srivastava, S., & Bagler, G. (2024). Cultural context shapes the carbon footprints of recipes. International Journal of Gastronomy and Food Science, 38, 101017. https://doi.org/10.1016/j.ijgfs.2024.101017
Dish Detection in Indian Food Platters: A Computational Framework for Diet Management
Communications in Computer and Information Science / Jan 01, 2024
Goel, M., Dargar, S., Ghatak, S., Verma, N., Chauhan, P., Gupta, A., Vishnumolakala, N., Amuru, H., Gambhir, E., Chhajed, R., Jain, M., Jain, A., Garg, S., & Bagler, G. (2024). Dish Detection in Indian Food Platters: A Computational Framework for Diet Management. In Computer Vision and Image Processing (pp. 231–243). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-58181-6_20
Artificial intelligence and art: Identifying the aesthetic judgment factors that distinguish human- and machine-generated artwork.
Psychology of Aesthetics, Creativity, and the Arts / Jun 01, 2023
Samo, A., & Highhouse, S. (2023). Artificial intelligence and art: Identifying the aesthetic judgment factors that distinguish human- and machine-generated artwork. Psychology of Aesthetics, Creativity, and the Arts. https://doi.org/10.1037/aca0000570
A novel cross talk of AtRAV1, an ethylene responsive transcription factor with MAP kinases imparts broad spectrum disease resistance in plants
Jan 09, 2020
Chandan, R. K., Kumar, R., Swain, D. M., Ghosh, S., Bhagat, P. K., Patel, S., Bagler, G., Sinha, A. K., & Jha, G. (2020). A novel cross talk of AtRAV1, an ethylene responsive transcription factor with MAP kinases imparts broad spectrum disease resistance in plants. https://doi.org/10.1101/2020.01.08.899690
Performance Analysis of Local Binary Pattern Features with PCA for Face Recognition
Indian Journal of Science and Technology / Feb 01, 2017
Karanwal, S., & Kumar Purwar, R. (2017). Performance Analysis of Local Binary Pattern Features with PCA for Face Recognition. Indian Journal of Science and Technology, 10(21), 1–10. https://doi.org/10.17485/ijst/2017/v10i23/115561
Numerical Study of Variable Lung Ventilation Strategies
Lecture Notes in Electrical Engineering / Jan 01, 2015
Yadav, R., Ghatge, M., Hiremath, K., & Bagler, G. (2015). Numerical Study of Variable Lung Ventilation Strategies. In Systems Thinking Approach for Social Problems (pp. 299–306). Springer India. https://doi.org/10.1007/978-81-322-2141-8_26
Complexity, Evolution, and Persistence in Host‐Parasitoid Experimental Systems With Callosobruchus Beetles as the Host
Advances in Ecological Research / Jan 01, 2005
Tuda, M., & Shimada, M. (2005). Complexity, Evolution, and Persistence in Host‐Parasitoid Experimental Systems With Callosobruchus Beetles as the Host. In Population Dynamics and Laboratory Ecology (pp. 37–75). Elsevier. https://doi.org/10.1016/s0065-2504(04)37002-9
ToxinPredictor: Computational models to predict the toxicity of molecules
Chemosphere / Feb 01, 2025
Goel, M., Amawate, A., Singh, A., & Bagler, G. (2025). ToxinPredictor: Computational models to predict the toxicity of molecules. Chemosphere, 370, 143900. https://doi.org/10.1016/j.chemosphere.2024.143900
A study of cardiovascular risk factors and its knowledge among school children of Delhi
Indian Heart Journal / May 01, 2014
George, G. M., Sharma, K. K., Ramakrishnan, S., & Gupta, S. K. (2014). A study of cardiovascular risk factors and its knowledge among school children of Delhi. Indian Heart Journal, 66(3), 263–271. https://doi.org/10.1016/j.ihj.2014.03.003
Camouflage Detection and Its Association with Cognitive Style: A Functional Connectivity Study
Brain Connectivity / Dec 01, 2023
Sharma, D., Sharma, M., Kaur, P., Awasthy, S., Kaushal, S., D’Souza, M., Bagler, G., & Modi, S. (2023). Camouflage Detection and Its Association with Cognitive Style: A Functional Connectivity Study. Brain Connectivity, 13(10), 598–609. https://doi.org/10.1089/brain.2023.0044
From farm to fork
Food Science and Technology / Sep 01, 2023
From farm to fork. (2023). Food Science and Technology, 37(3), 54–57. https://doi.org/10.1002/fsat.3703_14.x
Four Years of Excellence: IIIT Delhi Empowers Future Technologists
XRDS: Crossroads, The ACM Magazine for Students / Dec 01, 2023
Mengi, G. (2023). Four Years of Excellence: IIIT Delhi Empowers Future Technologists. XRDS: Crossroads, The ACM Magazine for Students, 30(2), 12–13. https://doi.org/10.1145/3637456
Introduction
The Inspiration Machine / Jan 01, 2023
Introduction: Toward an Anthropology of Computational Creativity. (2023). In The Inspiration Machine. University of Chicago Press. https://doi.org/10.7208/chicago/9780226828329.003.0001
Text-To-Image Generation Using AI
International Journal of Research Publication and Reviews / Apr 27, 2023
V, P., S, R., B, S. R., & L, P. (2023). Text-To-Image Generation Using AI. International Journal of Research Publication and Reviews, 4(4), 4932–4937. https://doi.org/10.55248/gengpi.234.4.38568
Perturbing Coupled Multivariable Systems
Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics / Jan 01, 2023
Mukhopadhyay, A., Bagler, G., & Sinha, S. (2023). Perturbing Coupled Multivariable Systems. In Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics (pp. 319–333). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-33050-6_19
CCAP: Cooperative Context Aware Pruning for Neural Network Model Compression
2021 IEEE International Symposium on Multimedia (ISM) / Nov 01, 2021
Wang, L.-Y., & Akhtar, Z. (2021). CCAP: Cooperative Context Aware Pruning for Neural Network Model Compression. 2021 IEEE International Symposium on Multimedia (ISM), 257–260. https://doi.org/10.1109/ism52913.2021.00051
In the X-Ray File
Inflammatory Bowel Diseases / Aug 01, 1999
Harrison, J. R. (1999). In the X-Ray File. Inflammatory Bowel Diseases, 5(3), 182. https://doi.org/10.1097/00054725-199908000-00006
A Generalized Partial Canonical Correlation Model to Measure Contribution of Individual Drug Features Toward Side Effects Prediction
Lecture Notes on Data Engineering and Communications Technologies / Jan 01, 2020
Kanji, R., & Bagler, G. (2020). A Generalized Partial Canonical Correlation Model to Measure Contribution of Individual Drug Features Toward Side Effects Prediction. In Advances in Data Science and Management (pp. 159–172). Springer Singapore. https://doi.org/10.1007/978-981-15-0978-0_15
Data-driven analysis of biomedical literature suggests broad-spectrum benevolence of culinary herbs and spices
Mar 04, 2018
N K, R., Tuwani, R., Mukherjee, J., & Bagler, G. (2018). Data-driven analysis of biomedical literature suggests broad-spectrum benevolence of culinary herbs and spices. https://doi.org/10.1101/276105
Physicochemical Prediction of Metabolite Fragmentation in Tandem Mass Spectrometry
Mass Spectrometry / Jun 14, 2018
Tanaka, W., & Arita, M. (2018). Physicochemical Prediction of Metabolite Fragmentation in Tandem Mass Spectrometry. Mass Spectrometry, 7(1), A0066–A0066. https://doi.org/10.5702/massspectrometry.a0066
Brain Connectivity Changes in Meditators and Novices during Yoga Nidra: A Novel fMRI Study
Sep 16, 2023
Fialoke, S., Tripathi, V., Thakral, S., Dhawan, A., Majahan, V., & Garg, R. (2023). Brain Connectivity Changes in Meditators and Novices during Yoga Nidra: A Novel fMRI Study. https://doi.org/10.1101/2023.09.15.557655
PROPAGATION OF EXTRINSIC PERTURBATION IN MULTISTEP BIOCHEMICAL PATHWAYS
Mathematical Biology and Biological Physics / Jul 10, 2017
NEDUNGADI, A. G., & SINHA, S. (2017). PROPAGATION OF EXTRINSIC PERTURBATION IN MULTISTEP BIOCHEMICAL PATHWAYS. In Mathematical Biology and Biological Physics (pp. 97–117). WORLD SCIENTIFIC. https://doi.org/10.1142/9789813227880_0006
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