Author

Sutirtha Chakraborty

Primary ORCID profile (0000-0002-2648-5216 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Sutirtha ChakrabortyiD1 paper · Novartis (India)

Biology Disciplines

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Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Activity by Year

2016-2016 · peak 1/yr

1 paper

Recent·Most cited

SVAPLSseq: A Method to correct for hidden sources of variability in differential gene expression studies based on RNAseq data

Sutirtha Chakraborty

SVAPLSseq corrects hidden variability in RNAseq data to improve differential gene expression analysis, outperforming existing methods in simulated and real data.

bioRxiv · Jul 5, 2016 · PreprintGenomics