Author

Gyan V Bhanot

Rutgers, The State University of New JerseyORCID 0000-0001-7822-5259Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Hossein KhiabanianiD· 2 shared Amartya SinghiD· 1 shared Laura PasqualucciiD· 1 shared Nicholas ChiorazziiD· 1 shared Raúl RabadániD· 1 shared Sonia Marsilio· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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2 shared papersSystems Biology

Hossein KhiabanianORCID

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2 papers

Recent·Most cited

Systems BiologyGigaSciencePeer-reviewedJun 1, 2019

TuBA: Tunable Biclustering Algorithm Reveals Clinically Relevant Tumor Transcriptional Profiles in Breast Cancer

Amartya Singh, Gyan V Bhanot, Hossein Khiabanian

TuBA identifies clinically relevant tumor transcriptional profiles in breast cancer by detecting biclusters with significant gene set agreement and clinical implications across multiple datasets.

8 citations

humanbulk RNA-seq

BioinformaticsJournal of Statistical PhysicsPeer-reviewedDec 21, 2017

On statistical modeling of sequencing noise in high depth data to assess tumor evolution

Raúl Rabadán, Gyan V Bhanot, Sonia Marsilio…·Hossein Khiabanian

This paper develops a statistical model for sequencing noise in high-depth data to identify mutations associated with tumor progression and recurrence.

11 citations

whole-genome sequencingstatistical model