Pingzhao Hu

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 20

Top Topics

Tensor Factorization

Gene Expression

Top Venues

Canadian Conference on AI

J. Cheminformatics

Publications

Leann Lac, Carson K. Leung, Pingzhao Hu
Computational frameworks integrating deep learning and statistical models in mining multimodal omics data. J. Biomed. Informatics 152 (2024)
Eric Lin, Boyuan Liu, Leann Lac, Daryl L. X. Fung, Carson K. Leung, Pingzhao Hu
scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data. Mach. Learn. Sci. Technol. 4 (3) (2023)
Wentao Xie, Qian Liu, Yongye Su, Yi Yan, Shujun Huang, Qin Kuang, Pingzhao Hu
Patch-based deep learning models for breast mammographic mass classification. ICBBT (2023)
Chengyou Liu, Yan Sun, Rebecca Davis, Silvia T. Cardona, Pingzhao Hu
ABT-MPNN: an atom-bond transformer-based message-passing neural network for molecular property prediction. J. Cheminformatics 15 (1) (2023)
Hamid Hadipour, Chengyou Liu, Rebecca Davis, Silvia T. Cardona, Pingzhao Hu
Deep clustering of small molecules at large-scale via variational autoencoder embedding and K-means. BMC Bioinform. (4) (2022)
Yongye Su, Qian Liu, Wentao Xie, Pingzhao Hu
YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms. Comput. Methods Programs Biomed. 221 (2022)
A. S. M. Zisanur Rahman, Chengyou Liu, Hunter Sturm, Andrew M. Hogan, Rebecca Davis, Pingzhao Hu, Silvia T. Cardona
A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery. PLoS Comput. Biol. 18 (10) (2022)
Chengyou Liu, Andrew M. Hogan, Hunter Sturm, Mohd Wasif Khan, Md. Mohaiminul Islam, A. S. M. Zisanur Rahman, Rebecca Davis, Silvia T. Cardona, Pingzhao Hu
Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles. J. Cheminformatics 14 (1) (2022)
Judah Zammit, Daryl L. X. Fung, Qian Liu, Carson Kai-Sang Leung, Pingzhao Hu
Semi-supervised COVID-19 CT image segmentation using deep generative models. BMC Bioinform. 23 (7) (2022)
Jasper Zhongyuan Zhang, Wei Xu, Pingzhao Hu
Tightly integrated multiomics-based deep tensor survival model for time-to-event prediction. Bioinform. 38 (12) (2022)
Qian Liu, Bowen Cheng, Yongwon Jin, Pingzhao Hu
Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data. J. Biomed. Informatics 125 (2022)
Yan Sun, Md. Mohaiminul Islam, Ehsan Zahedi, Mélaine Kuenemann, Hassan Chouaib, Pingzhao Hu
Molecular Property Prediction based on Bimodal Supervised Contrastive Learning. BIBM (2022)
Zexuan Sun, Shujun Huang, Peiran Jiang, Pingzhao Hu, Zhiyong Lu
DTF: Deep Tensor Factorization for predicting anticancer drug synergy. Bioinform. 36 (16) (2020)
Qian Liu, Carson K. Leung, Pingzhao Hu
A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images. IEEE Access 8 (2020)
Rayhan Shikder, Pourang Irani, Pingzhao Hu
Genome-Wide Canonical Correlation Analysis-Based Computational Methods for Mining Information from Microbiome and Gene Expression Data. Canadian Conference on AI (2019)
Jiaying You, Robert D. McLeod, Pingzhao Hu
Predicting drug-target interaction network using deep learning model. Comput. Biol. Chem. 80 (2019)
Xinyu Hou, Jiaying You, Pingzhao Hu
Predicting Drug-Drug Interactions Using Deep Neural Network. ICMLC (2019)
Jiaying You, Md. Mohaiminul Islam, Liam Grenier, Qin Kuang, Robert D. McLeod, Pingzhao Hu
Drug-Target Interaction Network Predictions for Drug Repurposing Using LASSO-Based Regularized Linear Classification Model. Canadian Conference on AI (2018)
Ryohei Eguchi, Mohammad Bozlul Karim, Pingzhao Hu, Tetsuo Sato, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin
An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease. BMC Bioinform. 19 (1) (2018)
Md. Mohaiminul Islam, Rasif Ajwad, Chen Chi, Michael Domaratzki, Yang Wang, Pingzhao Hu
Somatic Copy Number Alteration-Based Prediction of Molecular Subtypes of Breast Cancer Using Deep Learning Model. Canadian Conference on AI (2017)
Hui Jiang, Zhen-Yu Pan, Pingzhao Hu
Discriminative learning of generative models: large margin multinomial mixture models for document classification. Pattern Anal. Appl. 18 (3) (2015)
Pingzhao Hu, Shelley B. Bull, Hui Jiang
Gene network modular-based classification of microarray samples. BMC Bioinform. 13 (S-10) (2012)
Pingzhao Hu, Shelley B. Bull, Hui Jiang
Gene Network Modules-Based Liner Discriminant Analysis of Microarray Gene Expression Data. ISBRA (2011)
Pingzhao Hu, Hui Jiang, Andrew Emili
Predicting protein functions by relaxation labelling protein interaction network. BMC Bioinform. 11 (S-1) (2010)
Ahmed Hossain, Joseph Beyene, Andrew R. Willan, Pingzhao Hu
A flexible approximate likelihood ratio test for detecting differential expression in microarray data. Comput. Stat. Data Anal. 53 (10) (2009)
Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
Using the ratio of means as the effect size measure in combining results of microarray experiments. BMC Syst. Biol. 3 (2009)
Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
Integrating Affymetrix microarray data sets using probe-level test statistic for predicting prostate cancer. CIBCB (2006)
Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
Statistical Methods for Meta-Analysis of Microarray Data: A Comparative Study. Inf. Syst. Frontiers 8 (1) (2006)
Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models. BMC Bioinform. 6 (2005)
Pingzhao Hu, Jim Pooler
An empirical test of the competing destinations model. J. Geogr. Syst. 4 (3) (2002)