Yang, Pengyi

Global Phosphoproteomic Analysis of Human Skeletal Muscle Reveals a Network of Exercise-Regulated Kinases and AMPK Substrates

Hoffman, N. J., Parker, B. L., Chaudhuri, R., Fisher-Wellman, K. H., Kleinert, M., Humphrey, S. J., Yang, P., Holliday, M., Trefely, S., Fazakerley, D. J., et al. (2015) · Cell Metabolism

Metabolism, Diabetes, and CancerMuscle metabolism and nutrition

Cited by 426

Mitochondrial CoQ deficiency is a common driver of mitochondrial oxidants and insulin resistance

Fazakerley, D. J., Chaudhuri, R., Yang, P., Maghzal, G. J., Thomas, K. C., Krycer, J. R., Humphrey, S. J., Parker, B. L., Fisher-Wellman, K. H., Meoli, C. C., et al. (2018) · eLife

Coenzyme Q10 studies and effectsMitochondrial Function and Pathology

Cited by 160

Multi-Omic Profiling Reveals Dynamics of the Phased Progression of Pluripotency

Yang, P., Humphrey, S. J., Cinghu, S., Pathania, R., Oldfield, A. J., Kumar, D., Perera, D., Yang, J. Y. H., James, D. E., Mann, M., et al. (2018) · Cell Systems

Pluripotent Stem Cells ResearchDevelopmental Biology and Gene Regulation

Cited by 146

Multi-omic Profiling Reveals Dynamics of the Phased Progression of Pluripotency

Yang, P., Humphrey, S. J., Cinghu, S., Pathania, R., Oldfield, A. J., Kumar, D., Perera, D., Yang, J. Y. H., James, D. E., Mann, M., et al. (2019) · Cell Systems

Pluripotent Stem Cells ResearchDevelopmental Biology and Gene Regulation

Cited by 146

Impact of similarity metrics on single-cell RNA-seq data clustering

Kim, T., Chen, I. R., Lin, Y., Wang, A. Y.-Y., Yang, J. Y. H., & Yang, P. (2019) · Briefings in Bioinformatics

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 138

Intragenic Enhancers Attenuate Host Gene Expression

Cinghu, S., Yang, P., Kosak, J. P., Conway, A. E., Kumar, D., Oldfield, A. J., Adelman, K., & Jothi, R. (2017) · Molecular Cell

Genomics and Chromatin DynamicsCancer-related molecular mechanisms research

Cited by 100

Sample Subset Optimization Techniques for Imbalanced and Ensemble Learning Problems in Bioinformatics Applications

Yang, P., Yoo, P. D., Fernando, J., Zhou, B. B., Zhang, Z., & Zomaya, A. Y. (2014) · IEEE Transactions on Cybernetics

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 90

Evaluating stably expressed genes in single cells

Lin, Y., Ghazanfar, S., Strbenac, D., Wang, A., Patrick, E., Lin, D. M., Speed, T., Yang, J. Y. H., & Yang, P. (2019) · GigaScience

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 84

Sample Subset Optimization for Classifying Imbalanced Biological Data

Yang, P., Zhang, Z., Zhou, B. B., & Zomaya, A. Y. (2011) · Lecture Notes in Computer Science

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 31

Comprehensive characterization of fetal and mature retinal cell identity to assess the fidelity of retinal organoids

Kim, H. J., O’Hara-Wright, M., Kim, D., Loi, T. H., Lim, B. Y., Jamieson, R. V., Gonzalez-Cordero, A., & Yang, P. (2023) · Stem Cell Reports

Retinal Development and DisordersSingle-cell and spatial transcriptomics

Cited by 26