Author

Rohan Ghotra

Cold Spring Harbor Laboratory

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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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Research Focus:benchmarking· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1 Organism:yeast· 1

Frequent Co-Authors

Peter K. KooiD· 2 shared Aayush Prakash· 1 shared Abdul Muntakim RafiiD· 1 shared Andigoni MalousiiD· 1 shared Andreas Fønss MølleriD· 1 shared Andrey S. Lando· 1 shared Arsenii O. ZinkevichiD· 1 shared Ashley BabjaciD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Peter K. KooORCID

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2 papers

Recent·Most cited

Evaluation and optimization of sequence-based gene regulatory deep learning models

Abdul Muntakim Rafi, Daria Nogina, Dmitry Penzar, Dohoon Lee, Danyeong Lee, N. S. KIM, Sangyeup Kim, Dohyeon Kim, Yeojin Shin, Il‐Youp Kwak, Georgy Meshcheryakov, Andrey S. Lando, Arsenii O. Zinkevich, Byeongchan Kim, Juhyun Lee, , Carl G. de Boer

The paper evaluates and optimizes sequence-based gene regulatory deep learning models using a DREAM Challenge dataset, showing improvements through architectural and training strategy refinements.

Nature Biotechnology · Oct 11, 2024Peer-reviewedGenomics

Designing Interpretable Convolution-Based Hybrid Networks for Genomics

Rohan Ghotra, Nicholas Keone Lee, Rohit K. Tripathy, Peter K. Koo

This study investigates how architectural choices in convolution-based hybrid networks affect motif representations and the interpretability of their attention maps in genomics.

bioRxiv · Jul 13, 2021 · PreprintBioinformatics