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Biography

Dr. Li is a mathematical statistician at the National Cancer Institute, where he has been involved with the Biometric Research Program (BRP) since 2000 and officially joined the BRP in 2012. His research focuses on the development and analysis of statistical methodologies for genomic data. He has made contributions to bioinformatics through the creation of innovative software tools, including BRB-ArrayTools and BRB-SeqTools, which enhance the analysis of complex genomic datasets. Dr. Li's work supports the identification of biomarkers and therapeutic targets in cancer research, including several projects from the Division of Cancer Treatment and Diagnosis (DCTD).

Selected Publications

  1. Andrews HS, et al., Analysis of 20 Independently Performed Assays to Measure Homologous Recombination Deficiency (HRD) in Ovarian Cancer: Findings From the Friends' HRD Harmonization Project. 1, e2400042(2024). JCO Oncology Advances 2024.
  2. Konaté MM, Krushkal J, Li MC, Chen L, Kotliarov Y, Palmisano A, Pauly R, Xie Q, Williams PM, McShane LM, Zhao Y. Insights into gemcitabine resistance in pancreatic cancer: association with metabolic reprogramming and TP53 pathogenicity in patient derived xenografts. J Transl Med. 2024 Aug 5;22(1):733. doi: 10.1186/s12967-024-05528-6. PubMed PMID: 39103840; PubMed Central PMCID: PMC11301937.
  3. Krauze, A. V., Zhao, Y., Li, M. C., Shih, J., Jiang, W., Tasci, E., ... & Camphausen, K. 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, 13(10), 1499, 2023.
  4. Konaté, 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).
  5. Zhang P, Palmisano A, Kumar R, Li MC, Doroshow JH, Zhao Y. TPWshiny: an interactive R/Shiny app to explore cell line transcriptional responses to anti-cancer drugs. Bioinformatics. 2022 Jan 3;38(2):570-572. doi: 10.1093/bioinformatics/btab619. PubMed PMID: 34450618; PubMed Central PMCID: PMC10060698.


 

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