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Pingzhao Hu

Showing results (11-20 of 159) with videos related to

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Frontiers in Pharmacology|July 19, 2021
Computational Drug Repurposing for Alzheimer's Disease Using Risk Genes From GWAS and Single-Cell RNA Sequencing StudiesYun Xu, Jiming Kong, Pingzhao Hu
Genetic Epidemiology|June 24, 2026
Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor GenomicsYu Shi, Wei Xu, Pingzhao Hu
BMC Bioinformatics|February 4, 2010
Predicting protein functions by relaxation labelling protein interaction networkPingzhao Hu, Hui Jiang, Andrew Emili
Journal of Cheminformatics|March 22, 2025
An interpretable deep geometric learning model to predict the effects of mutations on protein-protein interactions using large-scale protein language modelCaiya Zhang, Yan Sun, Pingzhao Hu
BMC Cancer|June 1, 2021
Predicting breast cancer drug response using a multiple-layer cell line drug response network modelShujun Huang, Pingzhao Hu, Ted M Lakowski
Bioinformatics (Oxford, England)|April 21, 2022
Tightly integrated multiomics-based deep tensor survival model for time-to-event predictionJasper Zhongyuan Zhang, Wei Xu, Pingzhao Hu
The Pharmacogenomics Journal|November 24, 2022
Bioinformatics driven discovery of small molecule compounds that modulate the FOXM1 and PPARA pathway activities in breast cancerShujun Huang, Pingzhao Hu, Ted M Lakowski
Oncotarget|March 17, 2018
Recurrent copy number alterations in young women with breast cancerChen Chi, Leigh C Murphy, Pingzhao Hu
Scientific Reports|June 18, 2024
NNICE: a deep quantile neural network algorithm for expression deconvolutionYong Won Jin, Pingzhao Hu, Qian Liu
Expert Review of Proteomics|September 19, 2017
Protein complexes, big data, machine learning and integrative proteomics: lessons learned over a decade of systematic analysis of protein interaction networksPierre C Havugimana, Pingzhao Hu, Andrew Emili
Pageof 16

Showing results (11-20 of 159) with videos related to

Sort By:
Pageof 16
Frontiers in Pharmacology|July 19, 2021
Computational Drug Repurposing for Alzheimer's Disease Using Risk Genes From GWAS and Single-Cell RNA Sequencing StudiesYun Xu, Jiming Kong, Pingzhao Hu
Genetic Epidemiology|June 24, 2026
Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor GenomicsYu Shi, Wei Xu, Pingzhao Hu
BMC Bioinformatics|February 4, 2010
Predicting protein functions by relaxation labelling protein interaction networkPingzhao Hu, Hui Jiang, Andrew Emili
Journal of Cheminformatics|March 22, 2025
An interpretable deep geometric learning model to predict the effects of mutations on protein-protein interactions using large-scale protein language modelCaiya Zhang, Yan Sun, Pingzhao Hu
BMC Cancer|June 1, 2021
Predicting breast cancer drug response using a multiple-layer cell line drug response network modelShujun Huang, Pingzhao Hu, Ted M Lakowski
Bioinformatics (Oxford, England)|April 21, 2022
Tightly integrated multiomics-based deep tensor survival model for time-to-event predictionJasper Zhongyuan Zhang, Wei Xu, Pingzhao Hu
The Pharmacogenomics Journal|November 24, 2022
Bioinformatics driven discovery of small molecule compounds that modulate the FOXM1 and PPARA pathway activities in breast cancerShujun Huang, Pingzhao Hu, Ted M Lakowski
Oncotarget|March 17, 2018
Recurrent copy number alterations in young women with breast cancerChen Chi, Leigh C Murphy, Pingzhao Hu
Scientific Reports|June 18, 2024
NNICE: a deep quantile neural network algorithm for expression deconvolutionYong Won Jin, Pingzhao Hu, Qian Liu
Expert Review of Proteomics|September 19, 2017
Protein complexes, big data, machine learning and integrative proteomics: lessons learned over a decade of systematic analysis of protein interaction networksPierre C Havugimana, Pingzhao Hu, Andrew Emili
Pageof 16