Ching, Travers

Opportunities and obstacles for deep learning in biology and medicine

Ching, T., Himmelstein, D. S., Beaulieu-Jones, B. K., Kalinin, A. A., Do, B. T., Way, G. P., Ferrero, E., Agapow, P.-M., Zietz, M., Hoffman, M. M., et al. (2018) · Journal of The Royal Society Interface

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 2,310

Power analysis and sample size estimation for RNA-Seq differential expression

Ching, T., Huang, S., & Garmire, L. X. (2014) · RNA

Gene expression and cancer classificationGenomics and Phylogenetic Studies

Cited by 263

Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization

Zhu, X., Ching, T., Pan, X., Weissman, S. M., & Garmire, L. (2017) · PeerJ

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 86