Author

Sandra M. Cohen

Weill Cornell MedicineORCID 0000-0002-0727-4245Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Ekta KhuranaiD· 2 shared Alexander Martinez‐FundichelyiD· 1 shared Ana Molina· 1 shared Andre Neil ForbesiD· 1 shared Andrea SboneriD· 1 shared Anisha B. Tehim· 1 shared Benjamin J. RaphaeliD· 1 shared Brian D. RobinsoniD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Ekta KhuranaORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJul 1, 2025

Genomic alterations in the YAP/TAZ pathway are associated with stem cell-like castration-resistant prostate cancer

Marjorie L. Roskes, Alexander Martinez‐Fundichely, Sandra M. Cohen…·Ekta Khurana

The paper identifies genomic alterations in the YAP/TAZ pathway associated with stem cell-like castration-resistant prostate cancer using transcriptomic and whole-genome sequencing data.

DOI 10.1101/2025.07.01.25330467

humanbulk RNA-seq

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Systems BiologybioRxivPreprintJan 31, 2022

Discovery of novel therapeutic targets in cancer using patient-specific gene regulatory networks.

Andre Neil Forbes, Duo Xu, Sandra M. Cohen…·Ekta Khurana

The paper identifies novel drug targets in cancer by constructing patient-specific gene regulatory networks using ATAC-seq and RNA-seq data.

6 citations

humanATAC-seq

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BioinformaticsPLoS GeneticsPeer-reviewedAug 30, 2019

GRAM: A generalized model to predict the molecular effect of a non-coding variant in a cell-type specific manner

Shaoke Lou, Kellie A. Cotter, Tianxiao Li…·Mark Gerstein

GRAM predicts the molecular effect of non-coding variants in a cell-type specific manner using SELEX and expression profiles, achieving high performance on MPRA and luciferase assays.

5 citations

humanDNA methylation

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