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Benedict Anchang, Ph.D.

Benedict Anchang, Ph.D.

  • Center for Cancer Research
  • National Cancer Institute
Cancer Data Science Laboratory

RESEARCH SUMMARY

Benedict Anchang’s research interests include modelling, integrating and optimizing spontaneous or induced effects associated with complex adverse biological processes, such as cancer or toxicity. These studies are done in human and non-human systems at a multi- and nested-scale level using single-cell analysis, with personalized medicine as a desired goal. 

Dr. Anchang is a Stadtman Investigator in the Biostatistics and Computational Biology Branch at the National Institute of Environmental Health Sciences (NIEHS) in Research Triangle Park, NC. He also holds a joint appointment with the Cancer Data Science Laboratory.

Areas of Expertise

1) computational biology 2) systems biology 3) statistics 4) single-cell analysis 5) mixtures

Publications

Selected Key Publications

Epithelial-mesenchymal Transition States and Trajectories with Single-cell Resolution

Karacosta L, Anchang B, et al.
Nature Communications. 10(1): 5587, 2019. [ Journal Article ]

DRUG-NEM: Optimizing drug combinations using single-cell perturbation response to account for intratumoral heterogeneity

Anchang B, Davis KL, Fienberg HG, Williamson BD, Bendall SC, Karacosta LG, Tibshirani R, Nolan GP, Plevritis SK.
Proceedings of the National Academy of Sciences U S A. 115(18): E4294-E4303, 2018. [ Journal Article ]

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Menden MP, Wang D, Mason MJ, Szalai B, Bulusu KC, Guan Y, Yu T, Kang J, Jeon M, Wolfinger R, Nguyen T, Zaslavskiy M, AstraZeneca-Sanger Drug Combination DREAM Consortium, et al.
Nature Communications. 10(1): 2674, 2019. [ Journal Article ]

Visualization and cellular hierarchy inference of single-cell data using SPADE

Anchang B, Hart TD, Bendall SC, Qiu P, Bjornson Z, Linderman M, Nolan GP, Plevritis SK.
Nature Protocols. 11(7): 1264-79, 2016. [ Journal Article ]

Modeling the temporal interplay of molecular signaling and gene expression by using dynamic nested effects models

Anchang B, Sadeh MJ, Jacob J, Tresch A, Vlad MO, Oefner PJ, Spang R.
Proceedings of the National Academy of Sciences U S A. 106(16): 6447-52, 2009. [ Journal Article ]