Computational modeling of early T-cell precursor acute lymphoblastic leukemia (ETP-ALL) to identify personalized therapy using genomics.

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作者： Ansu,Kumar ^[1] ; Leylah M,Drusbosky ^[2] ; Amy,Meacham ^[2] ; Madeleine,Turcotte ^[2] ; Priyanka,Bhargav ^[1] ; Sumanth,Vasista ^[1] ; Shahabuddin,Usmani ^[1] ; Anusha,Pampana ^[1] ; Kabya,Basu ^[1] ; Anuj,Tyagi ^[1] ; Deepak,Lala ^[1] ; Swaminathan,Rajagopalan ^[1] ; Shivgonda C,Birajdar ^[1] ; Aftab,Alam ^[1] ; Kunal,Ghosh Roy ^[1] ; Taher,Abbasi ^[3] ; Shireen,Vali ^[3] ; Manju,Sengar ^[4] ; Girish,Chinnaswamy ^[4] ; Bijal D,Shah ^[5] ; Christopher R,Cogle ^[6]

作者单位： Cellworks Research India Pvt. Ltd., Bangalore, India. ^[1] Department of Medicine/Division of Hematology Oncology, University of Florida, Gainesville, FL, USA. ^[2] Cellworks Group Inc., San Jose, CA, USA. ^[3] Department of Medical Oncology, Tata Memorial Centre, Mumbai, India. ^[4] Moffitt Cancer Center, Tampa, FL, USA. ^[5] Department of Medicine/Division of Hematology Oncology, University of Florida, Gainesville, FL, USA. Electronic address: christopher.cogle@medicine.ufl.edu. ^[6]

关键词 Biomarkers Computational-modeling Drug response ETP-ALL Genomics Leukemia

主题词计算生物学(Computational Biology);计算机模拟(Computer Simulation);基因组学(Genomics);人类(Humans);前体T细胞淋巴母细胞白血病淋巴瘤(Precursor T-Cell Lymphoblastic Leukemia-Lymphoma);敏感性与特异性(Sensitivity and Specificity)

DOI 10.1016/j.leukres.2019.01.003

PMID 30641417

发布时间 2021-12-04

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