Author

Madhu Sharma

Indraprastha Institute of Information Technology DelhiORCID 0000-0001-7271-0413Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:ChIP-seq· 2 Research Focus:differential expression· 2 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Omkar ChandraiD· 3 shared Vibhor KumariD· 3 shared Indra Prakash JhaiD· 2 shared Neetesh Pandey· 2 shared Shreya V. MishraiD· 2 shared Biswarup Mahato· 1 shared Debarka SenguptaiD· 1 shared Durjay Pramanik· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersBioinformatics

Omkar ChandraORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 6, 2024

Explainable models using transcription factor binding and epigenome patterns at promoters reveal disease-associated genes and their regulators in the context of cell-types

Omkar Chandra, Durjay Pramanik, Srishti Gautam…·Vibhor Kumar

The paper uses epigenetic features to predict disease-associated genes and their regulators, emphasizing cell-type context and validating findings with genomic data.

1 citation

humanChIP-seq

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BioinformaticsGenome ResearchPeer-reviewedFeb 1, 2023

Searching match for single-cell open-chromatin profiles in large pools of single-cell transcriptomes and epigenomes for reference supported analysis

Shreya V. Mishra, Neetesh Pandey, Smriti Chawla…·Vibhor Kumar

scEpiSearch enables accurate matching of single-cell open-chromatin profiles to large reference datasets, improving co-embedding and classification of epigenomic states across species and platforms.

3 citations

humanmouse

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BioinformaticsbioRxivPreprintApr 17, 2022

Inferring functions of coding and non-coding genes using epigenomic patterns and deciphering the effect of combinatorics of transcription factors binding at promoters

Omkar Chandra, Madhu Sharma, Neetesh Pandey…·Vibhor Kumar

The paper predicts gene functions using epigenomic patterns and TF binding, achieving high accuracy and validating results with CRISPR screens and PubMed data.

1 citation

humanChIP-seq

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