Sengupta Lab

Cancer Contact

Debarka Sengupta
Assistant Professor
IIIT - Delhi
Email: debarka at iiitd dot ac dot in
Ph. +91-11-26907446

Select publications

Srivastava, D., Iyer, A., Kumar, V., and Sengupta, D., 2018. CellAtlasSearch: A scalable search engine for single cells.. Nucleic Acids Research,
Sinha, D., Kumar, A., Kumar, H., Bandyopadhyay, S., and Sengupta, D., 2018. dropClust: Efficient clustering of ultra-large scRNA-seq data. Nucleic Acids Research, 46(6):e36. doi: 10.1093/nar/gky007.
Li, H., Curtois, E.T., Sengupta, D., Tan,..., and Prbhakar, S., 2017. Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors. Nature Genetics, doi:10.1038/ng.3818.
Cima, I., Kong, S.L., Sengupta, D., Tan, I.B., Phyo, W.M., Lee, D., Hu, M., Iliescu, C., Alexander, I., Goh, W.L. and Rahmani, M., 2016. Tumor-derived circulating endothelial cell clusters in colorectal cancer. Science translational medicine, 8(345), pp.345ra89-345ra89.
Sengupta, D., Bandyopadhyay, S., and Sinha, D., 2016. A Scoring Scheme for Online Feature Selection: Simulating Model Performance Without Retraining. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2016.2514270.
Sengupta, D., Rayan, N.A., Lim, M., Lim, B. and Prabhakar, S., 2016. Fast, scalable and accurate differential expression analysis for single cells. bioRxiv, p.049734.
Bandyopadhyay, S., Chowdhary, G. and Sengupta, D., 2015. FOCS: Fast Overlapped Community Search. IEEE Transactions on Knowledge and Data Engineering, 27(11), pp.2974-2985.
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