Author

Christina S. Leslie

Primary ORCID profile (0000-0002-4571-5910 · 37 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Christina S. LeslieiD37 papers · Memorial Sloan Kettering Cancer Center

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexendar Perez· 1 shared Coryandar GilvaryiD· 1 shared Gaurav Pandey· 1 shared Kaitlyn Gayvert· 1 shared Lukas Dow· 1 shared Miguel Foronda· 1 shared Neel S. MadhukariD· 1 shared Olivier ElementoiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperCancer Biology

Alexendar Perez

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1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintJul 4, 2019

A machine learning approach predicts essential genes and pharmacological targets in cancer

Coryandar Gilvary, Neel S. Madhukar, Kaitlyn Gayvert…·Olivier Elemento

This paper introduces ECLIPSE, a machine learning model that predicts essential genes and pharmacological targets in cancer by integrating genomic, cell line, and experimental features, showing better differentiation of approved cancer drugs from non-approved ones.

DOI 10.1101/692277

humanbulk RNA-seq

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