Pingzhao Hu
Orcid: 0000-0002-9546-2245
According to our database1,
Pingzhao Hu
authored at least 29 papers
between 2002 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
ABT-MPNN: an atom-bond transformer-based message-passing neural network for molecular property prediction.
J. Cheminformatics, December, 2023
scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data.
Mach. Learn. Sci. Technol., September, 2023
Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023
2022
A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery.
PLoS Comput. Biol., October, 2022
Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles.
J. Cheminformatics, 2022
Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data.
J. Biomed. Informatics, 2022
YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms.
Comput. Methods Programs Biomed., 2022
BMC Bioinform., 2022
Deep clustering of small molecules at large-scale via variational autoencoder embedding and K-means.
BMC Bioinform., 2022
Tightly integrated multiomics-based deep tensor survival model for time-to-event prediction.
Bioinform., 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2020
Bioinform., 2020
A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images.
IEEE Access, 2020
2019
Comput. Biol. Chem., 2019
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019
Genome-Wide Canonical Correlation Analysis-Based Computational Methods for Mining Information from Microbiome and Gene Expression Data.
Proceedings of the Advances in Artificial Intelligence, 2019
2018
An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease.
BMC Bioinform., 2018
Drug-Target Interaction Network Predictions for Drug Repurposing Using LASSO-Based Regularized Linear Classification Model.
Proceedings of the Advances in Artificial Intelligence, 2018
2017
Somatic Copy Number Alteration-Based Prediction of Molecular Subtypes of Breast Cancer Using Deep Learning Model.
Proceedings of the Advances in Artificial Intelligence, 2017
2015
Discriminative learning of generative models: large margin multinomial mixture models for document classification.
Pattern Anal. Appl., 2015
2012
BMC Bioinform., 2012
2011
Gene Network Modules-Based Liner Discriminant Analysis of Microarray Gene Expression Data.
Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011
2010
BMC Bioinform., 2010
2009
A flexible approximate likelihood ratio test for detecting differential expression in microarray data.
Comput. Stat. Data Anal., 2009
Using the ratio of means as the effect size measure in combining results of microarray experiments.
BMC Syst. Biol., 2009
2006
Inf. Syst. Frontiers, 2006
Integrating Affymetrix microarray data sets using probe-level test statistic for predicting prostate cancer.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006
2005
Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models.
BMC Bioinform., 2005
2002