Author

Sushant Kumar

Yale UniversityORCID 0000-0002-7983-6761Unclaimed ORCID profile · follow to get notified of new preprints

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Sushant Kumar4 papers · European Bioinformatics Institute

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Jan O. KorbeliD· 2 shared Mark GersteiniD· 2 shared Aaron M. WengeriD· 1 shared Abdullah KahramaniD· 1 shared Abel González-PéreziD· 1 shared Alex R. HastieiD· 1 shared Alexander Martinez‐FundichelyiD· 1 shared Allison RegieriD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Jan O. KorbelORCID

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2 papers

Recent·Most cited

Mako: a graph-based pattern growth approach to detect complex structural variants

Jiadong Lin, Xiaofei Yang, Walter A. Kosters, Tun Xu, Yanyan Jia, Songbo Wang, Qihui Zhu, Mallory Ryan, Li Guo, Mark Gerstein, Ashley D. Sanders, Michael C. Zody, Michael E. Talkowski, Ryan E. Mills, Jan O. Korbel, , Kai Ye

Mako detects complex structural variants using a graph-based pattern growth approach, achieving 70% validation rate on real data and identifying 15 CSV types including two novel ones.

Genomics Proteomics & Bioinformatics · Jul 2, 2021Peer-reviewedBioinformatics

Integrative pathway enrichment analysis of multivariate omics data

Marta Paczkowska, Jonathan Barenboim, Nardnisa Sintupisut, Natalie S. Fox, Helen Zhu, Diala Abd-Rabbo, Miles W. Mee, Paul Christopher Boutros, PCAWG Drivers and Functional Interpretation Working Group, Federico Abascal, Samirkumar B. Amin, Gary D. Bader, Rameen Beroukhim, Johanna Bertl, Keith A. Boroevich, , Leonidas Salichos

ActivePathways integrates multivariate omics data to identify enriched pathways, revealing cancer driver genes and prognostic pathways in breast cancer.

Nature Communications · Feb 5, 2020Peer-reviewedBioinformatics