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

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, Metin Balaban, Chen Khuan Wong, Weiling Li, Tonatiuh A. Gonzalez, Anisha B. Tehim, Hao Xu, Shahd ElNaggar, Matthew A. Myers, Rohan Bareja, Princesca Dorsaint, Kathryn Gorski, Muhammad Imran Asad, , 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.

medRxiv · Jul 1, 2025 · PreprintGenetic & Genomic Medicine

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

Andre Neil Forbes, Duo Xu, Sandra M. Cohen, Priya Pancholi, Ekta Khurana

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

bioRxiv · Jan 31, 2022 · PreprintSystems Biology

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, Jin Hua Liang, Hussein Mohsen, Jason J. Liu, Jing Zhang, Sandra M. Cohen, Jinrui Xu, Haiyuan Yu, Mark A. Rubin, 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.

PLoS Genetics · Aug 30, 2019Peer-reviewedBioinformatics