Author

Bach Viet

Columbia University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1

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Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Allyson LiiD· 1 shared Basheer BecerraiD· 1 shared Chaitanya RastogiiD· 1 shared H. Tomas RubeiD· 1 shared Hammaad AdamiD· 1 shared Harmen J. BussemakeriD· 1 shared Judith F. Kribelbauer-SwietekiD· 1 shared Lucas A. N. MeloiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Allyson LiORCID

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1 paper

Recent·Most cited

Probing molecular specificity with deep sequencing and biophysically interpretable machine learning

H. Tomas Rube, Chaitanya Rastogi, Siqian Feng, Judith F. Kribelbauer-Swietek, Allyson Li, Basheer Becerra, Lucas A. N. Melo, Bach Viet, Xiaoting Li, Hammaad Adam, Neel H. Shah, Richard S. Mann, Harmen J. Bussemaker

The paper introduces ProBound, a machine learning framework that quantifies biophysical parameters of protein-ligand interactions using NGS data, and couples it with Kd-seq to determine absolute affinities.

Nature Biotechnology · May 23, 2022Peer-reviewedGenomics