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Paper Details

Predicting response to BET inhibitors using computational modeling: A BEAT AML project study.
Leuk Res
12
2019
AML, BET, BRD, ERK, JQ1, Patient, acute myeloid leukaemia, cancer, del(5q), del(7q), patient, patients
Antineoplastic Agents, Chromosome Aberrations, Computational Biology, Databases, Factual, Gene Expression Regulation, Neoplastic, Humans, Leukemia, Myeloid, Acute, Models, Molecular, Molecular Targeted Therapy, Transcription Factors
Author NameAffiliation
Leylah M DrusboskyUniversity of Florida
Robinson VidvaCellworks Research India Pvt. Ltd
Saji GeraCellworks Research India Pvt. Ltd
Anjanasree V LakshminarayanaCellworks Research India Pvt. Ltd
Vijayashree P ShyamasundarCellworks Research India Pvt. Ltd
Ashish AgrawalCellworks Research India Pvt. Ltd
Anay TalawdekarCellworks Research India Pvt. Ltd
Taher AbbasiCellworks Group Inc.
Shireen ValiCellworks Group Inc.
Cristina E TognonKnight Cancer Institute, Oregon Health & Science University
Stephen E KurtzKnight Cancer Institute, Oregon Health & Science University
Jeffrey W TynerKnight Cancer Institute, Oregon Health and Science University
Shannon K McWeeneyDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University
Brian J DrukerKnight Cancer Institute, Oregon Health & Science University
Christopher R CogleUniversity of Florida
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Release 1.2