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Author Details

In Sock Jang
Celgene Corporation
2013
15
11
Trey Ideker (CM4AI)
PMIDPaper TitleJournal TitlePublished Year
33197925CC-90009, a novel cereblon E3 ligase modulator, targets acute myeloid leukemia blasts and leukemia stem cells.Blood2021
33847741Deciphering the mechanisms of CC-122 resistance in DLBCL via a genome-wide CRISPR screen.Blood Adv2021
34922559Integrative multi-omics identifies high risk multiple myeloma subgroup associated with significant DNA loss and dysregulated DNA repair and cell cycle pathways.BMC Med Genomics2021
34215850Genetic and pharmacological interrogation of cancer vulnerability using a multiplexed cell line screening platform.Commun Biol2021
31209238Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen.Nat Commun2019
29599409Functional Precision Medicine Identifies Novel Druggable Targets and Therapeutic Options in Head and Neck Cancer.Clin Cancer Res2018
30234487UBE2G1 governs the destruction of cereblon neomorphic substrates.Elife2018
25592566Stepwise group sparse regression (SGSR): gene-set-based pharmacogenomic predictive models with stepwise selection of functional priors.Pac Symp Biocomput2015
25656898Database of genomic biomarkers for cancer drugs and clinical targetability in solid tumors.Cancer Discov2015
24297531The Stream algorithm: computationally efficient ridge-regression via Bayesian model averaging, and applications to pharmacogenomic prediction of cancer cell line sensitivity.Pac Symp Biocomput2014
25125259Functional kinomics identifies candidate therapeutic targets in head and neck cancer.Clin Cancer Res2014
24591535Synthetic lethal screens as a means to understand and treat MYC-driven cancers.Cold Spring Harb Perspect Med2014
24297534Systematic assessment of analytical methods for drug sensitivity prediction from cancer cell line data.Pac Symp Biocomput2014
23671412Improving breast cancer survival analysis through competition-based multidimensional modeling.PLoS Comput Biol2013
24511376hARACNe: improving the accuracy of regulatory model reverse engineering via higher-order data processing inequality tests.Interface Focus2013
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Collaborators

Adam A Margolin
Icahn School of Medicine
Co-authored papers 7
Justin Guinney
University of Washington
Co-authored papers 6
Stephen H Friend
University of Oxford
Co-authored papers 4
Elias Chaibub Neto
University of Wisconsin-Madison.
Co-authored papers 3
Gustavo Stolovitzky
IBM T.J. Watson Research Center
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Co-authored papers 2
Andrea Califano
Columbia University
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Hans Kristian Moen Vollan
F Hoffmann-La Roche Ltd
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Wendell G Yarbrough
University of North Carolina at Chapel Hill
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Brady Bernard
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Mathew J Garnett
Wellcome Sanger Institute
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Thomas Clayton
Celgene/Bristol-Myers Squibb Corporation
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John E Dick
Princess Margaret Cancer Centre, University Health Network
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Olga Nikolova
Oregon Health and Science University
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Mehmet Eren Ahsen
Gies College of Business, University of Illinois at Urbana-Champaign.
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Dennis Wang
Sheffield Institute of Translational Neuroscience, University of Sheffield
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Thea Norman
Bill & Melinda Gates Foundation
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Vessela N Kristensen
Faculty of Clinical Medicine, University of Oslo
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Brigham H Mecham
Center for Cancer Innovation, University of Washington
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Oscar M Rueda
University of Cambridge
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Mariano J Alvarez
Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center
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Yuanfang Guan
University of Michigan ann arbor
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Janusz Dutkowski
Data4Cure Inc.
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Christina Curtis
Stanford University School of Medicine
Co-authored papers 1
Benjamin A Logsdon
Fred Hutchinson Cancer Research Center
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Eric E Schadt
Icahn School of Medicine at Mount Sinai
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Stephen Fawell
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Thomas Yu
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Release 1.2