Ping Luo

Assistant Professor at Algoma University

Toronto, Ontario, Canada

Research Expertise

single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
Molecular Medicine
Computational Mathematics
Computational Theory and Mathematics
Computer Science Applications
Molecular Biology
Biochemistry
Statistics and Probability
Applied Mathematics
Biotechnology
Artificial Intelligence
Cognitive Neuroscience
Structural Biology
Cell Biology
Hematology
Immunology
Information Systems
Biophysics

About

8 years of science and engineering experience integrating multi-omics data to identify biomarkers for cancer studies. Seeking to apply data analytics expertise to develop new diagnosis and treatment strategies.

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Publications

deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks
Frontiers in Genetics
2019
Enhancing the prediction of disease–gene associations with multimodal deep learning
Bioinformatics
2019
Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics
2019
Identifying Disease-Gene Associations With Graph-Regularized Manifold Learning
Frontiers in Genetics
2019
CReSCENT: CanceR Single Cell ExpressioN Toolkit
Nucleic Acids Research
2020
CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization
Neurocomputing
2018
Identifying disease genes from PPI networks weighted by gene expression under different conditions
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
2016
Identifying cell types from single-cell data based on similarities and dissimilarities between cells
BMC Bioinformatics
2021
Predicting Gene-Disease Associations with Manifold Learning
Bioinformatics Research and Applications
2018
Ensemble disease gene prediction by clinical sample-based networks
BMC Bioinformatics
2020
A Novel Core-Attachment-Based Method to Identify Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks
PROTEOMICS
2019
Predicting disease‐associated genes: Computational methods, databases, and evaluations
WIREs Data Mining and Knowledge Discovery
2020
Normalization of the Immune Microenvironment during Lenalidomide Maintenance Is Associated with Sustained MRD Negativity in Patients with Multiple Myeloma
Blood
2021
Network Learning for Biomarker Discovery
International Journal of Network Dynamics and Intelligence
2023
Predicting Disease Genes from Clinical Single Sample-Based PPI Networks
Bioinformatics and Biomedical Engineering
2018
Integrated, Longitudinal Analysis of Cell-free DNA in Uveal Melanoma
Cancer Research Communications
2023
Evaluation of single-cell RNAseq labelling algorithms using cancer datasets
Briefings in Bioinformatics
2022
Integrated analysis of cell-free DNA for the early detection of cancer in people with Li-Fraumeni Syndrome
Unknown Venue
2022
Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data
Intelligent Computing Theories and Application
2019
Multiple Germline Events Contribute to Cancer Development in Patients with Li-Fraumeni Syndrome
Cancer Research Communications
2023
P087: Integrated analysis of cell-free DNA for the detection of malignant peripheral nerve sheath tumors in patients with neurofibromatosis type 1
Genetics in Medicine Open
2023
OP015: Multi-omic analysis of circulating tumour DNA for the early detection of cancer in patients with Li-Fraumeni syndrome
Genetics in Medicine
2022
Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets
Computational and Structural Biotechnology Journal
2022

Education

University of Saskatchewan

Ph.D., Biomedical Engineering / September, 2019

Saskatoon, Saskatchewan, Canada

Beijing Institute of Technology

M.Eng., Biomedical Engineering / June, 2015

Beijing

Hunan University

B.Eng., Computer Science / June, 2010

Changsha

Experience

Princess Margaret Cancer Centre

Postdoctoral Researcher / November, 2019 — Present

I work in Dr. Trevor Pugh's lab and design cancer diagnosis and treatment strategies by analyze cell-free DNA and single cell sequencing data

Princess Margaret Cancer Centre

Bioinformatics Specialist / September, 2023 — Present

I work in Dr. Tak Mak's lab and study tumor immunology using single cell and TCR sequencing data.

Links & Social Media

Personal website

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