Breadcrumb

Dr. Afsari

Bahman Afsari, Ph.D.

  • Center for Cancer Research
  • National Cancer Institute

RESEARCH SUMMARY

Dr. Afsari is a Staff Scientist in the HIV/AIDS Malignancy Branch. He is an expert in Bioinformatics, Biostatistics, Machine Learning, and Dynamical Systems Theory. His main area of research is the data analysis of genomics, epigenomics, and clinical data related to Cancers associated with Viruses and the development of bioinformatics pipelines to analyze such data.

Areas of Expertise

Bioinformatics
Computational Biology
Genomics
Biostatistics
Machine Learning
Dynamical Systems Theory

Publications

Selected Publications

Detection and localization of surgically resectable cancers with a multi-analyte blood test

Cohen, J. D., Li, L., Wang, Y., Thoburn, C., Afsari, B., Danilova, L., Douville, C., Javed, A. A., Wong, F., Mattox, A., Hruban, R. H., Wolfgang, C. L., Goggins, M. G., Dal Molin, M., Wang, T. L., Roden, R., Klein, A. P., Ptak, J., Dobbyn, L., Schaefer, J., … Papadopoulos, N.
Science. 2018.
Full-Text Article
[ Journal Article ]

Supervised mutational signatures for obesity and other tissue-specific etiological factors in cancer

fsari, B., Kuo, A., Zhang, Y., Li, L., Lahouel, K., Danilova, L., Favorov, A., Rosenquist, T. A., Grollman, A. P., Kinzler, K. W., Cope, L., Vogelstein, B., & Tomasetti, C.
eLife. 2021.
Full-Text Article
[ Journal Article ]

Inferring causal molecular networks: empirical assessment through a community-based effort

Hill, S. M., Heiser, L. M., Cokelaer, T., Unger, M., Nesser, N. K., Carlin, D. E., Zhang, Y., Sokolov, A., Paull, E. O., Wong, C. K., Graim, K., Bivol, A., Wang, H., Zhu, F., Afsari, B., Danilova, L. V., Favorov, A. V., Lee, W. S., Taylor, D., Hu, C. W., … Mukherjee, S.
Nature Methods. 2016.
Full-Text Article
[ Journal Article ]

switchBox: an R package for k-Top Scoring Pairs classifier development.

Afsari, B., Fertig, E. J., Geman, D., & Marchionni, L.
Bioinformatics (Oxford, England). 2015. [ Journal Article ]

Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer

Afsari, B., Guo, T., Considine, M., Florea, L., Kagohara, L. T., Stein-O'Brien, G. L., Kelley, D., Flam, E., Zambo, K. D., Ha, P. K., Geman, D., Ochs, M. F., Califano, J. A., Gaykalova, D. A., Favorov, A. V., & Fertig, E. J.
Bioinformatics (Oxford, England). 2018.
Full-Text Article