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Personal profile

Research Interests

Research in our lab focuses on developing statistical machine learning based algorithms and informatics solutions for knowledge extraction in biology and medicine. Our ongoing research work, funded by National Library of Medicine/NIH R01, focuses on developing novel bioinformatics methods to help in silico discovery and research for accelerating the linkage of phenotypic and genomic information at gene-isoform level. The overarching goal of the lab is to translate data from high dimensional (-omic) platforms (e.g., NextGen sequencing) to derive experimentally interpretable and testable discovery models for the identification and characterization of transcript-variants/protein isoforms, networks and pathways involved in normal and disease cells. Our data science group collaborates with experimental and clinical researchers towards identification of genetic and epigenetic signatures for identification of subsets of cancer patients who may benefit from therapeutic intervention and guide the understanding of drug activity in patient tumors, towards the goals of precision medicine (for example, JCO Clin Cancer Inform. 2019 Apr;3:1-9. doi: 10.1200/CCI.18.00096.)

Data Science; Application of statistical machine learning methods; precision medicine; isoform-level gene regulation

Education/Academic qualification

PhD, Indian Agricultural Statistics Research Institute

… → 1996

Research interests

  • Big Data
  • Bioinformatics
  • Brain Cancer / Nervous System Cancer
  • Cancer Biology
  • Computational Biology
  • Genomics
  • Systems Biology

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Grants

  • Research Output

    In silico analysis of alternative splicing on drug-target gene interactions

    Ji, Y., Mishra, R. K. & Davuluri, R. V., Dec 1 2020, In : Scientific reports. 10, 1, 134.

    Research output: Contribution to journalArticle

    Open Access
  • IDH3α regulates one-carbon metabolism in glioblastoma

    May, J. L., Kouri, F., Hurley, L. A., Liu, J., Tommasini-Ghelfi, S., Ji, Y., Gao, P., Calvert, A. E., Lee, A., Chandel, N., Davuluri, R. V., Horbinski, C. M., Locasale, J. W. & Stegh, A. H., Jan 1 2019, In : Science Advances. 5, 1, eaat0456.

    Research output: Contribution to journalArticle

  • 9 Scopus citations

    Immune landscapes associated with different glioblastoma molecular subtypes

    Martinez-Lage, M., Lynch, T. M., Bi, Y., Cocito, C., Way, G. P., Pal, S., Haller, J., Yan, R. E., Ziober, A., Nguyen, A., Kandpal, M., O'Rourke, D. M., Greenfield, J. P., Greene, C. S., Davuluri, R. V. & Dahmane, N., Nov 29 2019, In : Acta Neuropathologica Communications. 7, 1, 203.

    Research output: Contribution to journalArticle

    Open Access
  • 2 Scopus citations

    Platform-independent classification system for predicting high-grade serous ovarian carcinoma molecular subtypes

    Shilpi, A., Kandpal, M., Ji, Y., Seagle, BL. & Davuluri, RV., Apr 3 2019, In : JCO Clinical Cancer Informatics. 3, 1, p. 1-9 9 p.

    Research output: Contribution to journalArticle

    Open Access
  • 2 Scopus citations