Hu, Pingzhao

Global Survey of Organ and Organelle Protein Expression in Mouse: Combined Proteomic and Transcriptomic Profiling

Kislinger, T., Cox, B., Kannan, A., Chung, C., Hu, P., Ignatchenko, A., Scott, M. S., Gramolini, A. O., Morris, Q., Hallett, M. T., et al. (2006) · Cell

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 482

Global Functional Atlas of Escherichia coli Encompassing Previously Uncharacterized Proteins

Hu, P., Janga, S. C., Babu, M., Díaz-Mejía, J. J., Butland, G., Yang, W., Pogoutse, O., Guo, X., Phanse, S., Wong, P., et al. (2009) · PLoS Biology

Bioinformatics and Genomic NetworksBacterial Genetics and Biotechnology

Cited by 387

Prenatal exposure to maternal cigarette smoking and DNA methylation: epigenome-wide association in a discovery sample of adolescents and replication in an independent cohort at birth through 17 years of age

Lee, K. W. K., Richmond, R., Hu, P., French, L., Shin, J., Bourdon, C., Reischl, E., Waldenberger, M., Zeilinger, S., Gaunt, T., et al. (2015) · Environmental Health Perspectives

Epigenetics and DNA MethylationSmoking Behavior and Cessation

Cited by 186

Brain-expressed exons under purifying selection are enriched for de novo mutations in autism spectrum disorder

Uddin, M., Tammimies, K., Pellecchia, G., Alipanahi, B., Hu, P., Wang, Z., Pinto, D., Lau, L., Nalpathamkalam, T., Marshall, C. R., et al. (2014) · Nature Genetics

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 163

Predicting drug-target interaction network using deep learning model

You, J., McLeod, R. D., & Hu, P. (2019) · Computational Biology and Chemistry

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 150

An integrative deep learning framework for classifying molecular subtypes of breast cancer

Mohaiminul Islam, M., Huang, S., Ajwad, R., Chi, C., Wang, Y., & Hu, P. (2020) · Computational and Structural Biotechnology Journal

Breast Cancer Treatment StudiesGene expression and cancer classification

Cited by 90

Extendable and explainable deep learning for pan-cancer radiogenomics research

Liu, Q., & Hu, P. (2022) · Current Opinion in Chemical Biology

Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education

Cited by 27

Integrative analysis of taste genetics and the dental plaque microbiome in early childhood caries

Khan, M. W., Cruz de Jesus, V., Mittermuller, B.-A., Schroth, R. J., Hu, P., & Chelikani, P. (2025) · Cell Reports

Oral microbiology and periodontitis researchDental Health and Care Utilization

Cited by 7