Author

Ritambhara Singh

University of VirginiaORCID 0000-0001-9857-1415Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:ChIP-seq· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:human· 1

Frequent Co-Authors

Arshdeep SekhoniD· 2 shared Jack LanchantiniD· 2 shared Yanjun QiiD· 2 shared Beilun WangiD· 1 shared Kamran KowsariiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Arshdeep SekhonORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 25, 2018

Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin

Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi

AttentiveChrome combines hierarchical Long Short-Term Memory networks with two-level attention to predict human gene expression from chromatin marks across 56 cell types while identifying important marks and genomic positions.

93 citations

humanChIP-seq

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BioinformaticsbioRxivPreprintMay 24, 2018

GaKCo: a Fast GApped k-mer string Kernel using COunting

Ritambhara Singh, Arshdeep Sekhon, Jack Lanchantin…·Yanjun Qi

GaKCo improves the speed of gapped k-mer string kernels by using cumulative counting, achieving faster performance on DNA, protein, and text classification tasks.

4 citations

DNA methylationproteomics

𝕏 PostBluesky