Author

Gargi Datta

University of Colorado BoulderORCID 0000-0002-1314-7824Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Michael StrongiD· 1 shared Nabeeh A. HasaniD· 1 shared Sonia M. LeachiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Michael StrongORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 30, 2020

A composite method to infer drug resistance with mixed genomic data

Gargi Datta, Nabeeh A. Hasan, Michael Strong, Sonia M. Leach

This paper introduces a composite method for drug resistance prediction using mixed genomic data, showing improved performance on small sample sizes and mixed attribute types.

DOI 10.1101/2020.07.30.194266

whole-genome sequencingstatistical model

𝕏 PostBluesky