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Dr. Ming-Chung Li

Mathematical Statistician, Computational & Systems Biology Branch

Research Interests

Statistical computing, classification and prediction, containerization.

Selected Peer Reviewed Papers:

Krauze, A. V., Zhao, Y., Li, M. C., Shih, J. et al. Revisiting Concurrent Radiation Therapy, Temozolomide, and the Histone Deacetylase Inhibitor Valproic Acid for Patients with Glioblastoma-Proteomic Alteration and Comparison Analysis with the Standard-of-Care Chemoirradiation. Biomolecules (2023), 13(10), 1499.

Konate, M.M., Li, MC., McShane, L.M. et al. Discovery of pathway independent protein signatures associated with clinical outcome in human cancer cohorts. Scientific Reports. Sci Rep 12, 19283 (2022).

Zhao, Y., Li, MC., Konate, M.M. et al. TPM, FPKM, or Normalized Counts? A Comparative Study of Quantification Measures for the Analysis of RNA-seq Data from the NCI Patient-Derived Models Repository. J Transl Med 19, 269 (2021). https://doi.org/10.1186/s12967-021-02936-w

Peter Zhang, Alida Palmisano, Ravindra Kumar, Ming-Chung Li, James H Doroshow, Yingdong Zhao, TPWshiny: an interactive R/Shiny app to explore cell line transcriptional responses to anti-cancer drugs, Bioinformatics, 2021;, btab619, https://doi.org/10.1093/bioinformatics/btab619

Palmisano A. et al. (2020) Bioinformatics Tools and Resources for Cancer Immunotherapy Study. In: Thurin M., Cesano A., Marincola F. (eds) Biomarkers for Immunotherapy of Cancer. Methods in Molecular Biology, vol 2055. Humana, New York, NY https://doi.org/10.1007/978-1-4939-9773-2_29

Palmisano A, Zhao Y., Li MC, Polley EC, Simon R. OpenGeneMed: a portable, flexible and customizable informatics hub for the coordination of next-generation sequencing studies in support of precision medicine trials, Brief Bioinformatics (2016) doi: 10.1093/bib/bbw059

Zhao Y, Polley E, Li MC, Lih CJ, Palmisano A, Sims D, Rubinstein L, Conley B, Chen A, Williams PM, Kummar S, Doroshow JH, Simon RM. GeneMed: an informatics hub for the coordination of next-generation sequencing studies that support precision oncology clinical trials, Cancer Informatics, 2015, 14(Suppl 2):45-55.

Wang SJ, Li MC. Impacts of Predictive Genomic Classifier Performance on Subpoplation-Specific Treatment Effects Assessment. Statistics in Biosciences, doi:10.1007/s12561-013-9092-y 2013

Simon R, Subramanian J, Li MC, and Menezes S. Using Cross-Validation to Evaluate Predictive Accuracy of Survival Risk Classifiers Based on High Dimensional Data. Briefings in Bioinformatics, 2011.

Korn E, Li MC, McShane LM, and Simon R. An Investigation of Two Multivariate Permutation Methods for Controlling the False Discovery Proportion, Statistics in Medicine 2007; 26, pp4428-4440.