Author

Douglas A. Levine

Memorial Sloan Kettering Cancer CenterORCID 0000-0003-1038-8232Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

James D. BrentoniD· 2 shared Alejandro-Jimenez Sanchez· 1 shared Alexandra SnyderiD· 1 shared Allan JenseniD· 1 shared Andrew BerchuckiD· 1 shared Ángela Rynne‐VidaliD· 1 shared Anna DeFazioiD· 1 shared Anna H. WuiD· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

James D. BrentonORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineJournal of Medical GeneticsPeer-reviewedJun 16, 2020

Population based targeted sequencing of 54 candidate genes identifies PALB2 as a susceptibility gene for high grade serous ovarian cancer

Honglin Song, Ed Dicks, Jonathan P. Tyrer…·Paul D.P. Pharoah

53 citationstop 4%

humanwhole-exome sequencing

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BioinformaticsNature CommunicationsPeer-reviewedSep 25, 2019

Chromatin-informed inference of transcriptional programs in gynecologic and basal breast cancers

Hatice U. Osmanbeyoglu, Fumiko Shimizu, Ángela Rynne‐Vidal…·Christina S. Leslie

The paper develops PSIONIC, a machine learning method that integrates chromatin accessibility and RNA-seq data to infer transcriptional programs in gynecologic and basal breast cancers, revealing regulatory differences and survival associations.

28 citations

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 26, 2019

Computed Tomography Measures of Inter-site tumor Heterogeneity for Classifying Outcomes in High-Grade Serous Ovarian Carcinoma: a Retrospective Study

Harini Veeraraghavan, Hebert Alberto Vargas, Alejandro-Jimenez Sanchez…·Evis Sala

This study develops CT-based texture analysis to quantify intra- and inter-site tumor heterogeneity in HGSOC and shows it correlates with progression-free survival.

5 citations

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