Statistical Methods Inspired by Challenges in Pediatric Cancer Multi-omics

Author:

Cao Xueyuan,Elsayed Abdelrahman H.,Pounds Stanley B.

Publisher

Springer US

Reference33 articles.

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2. Pounds S, Cheng C, Li S, Liu Z, Zhang J, Mullighan C (2013) A genomic random interval model for statistical analysis of genomic lesion data. Bioinformatics 29(17):2088–2095. https://doi.org/10.1093/bioinformatics/btt372

3. Pounds S, Cheng C, Cao X, Crews KR, Plunkett W, Gandhi V, Rubnitz J, Ribeiro RC, Downing JR, Lamba J (2009) PROMISE: a tool to identify genomic features with a specific biologically interesting pattern of associations with multiple endpoint variables. Bioinformatics 25(16):2013–2019. https://doi.org/10.1093/bioinformatics/btp357

4. Winter SS, Dunsmore KP, Devidas M, Eisenberg N, Asselin BL, Wood BL, Leonard Rn MS, Murphy J, Gastier-Foster JM, Carroll AJ, Heerema NA, Loh ML, Raetz EA, Winick NJ, Carroll WL, Hunger SP (2015) Safe integration of nelarabine into intensive chemotherapy in newly diagnosed T-cell acute lymphoblastic leukemia: Children’s Oncology Group Study AALL0434. Pediatr Blood Cancer 62(7):1176–1183. https://doi.org/10.1002/pbc.25470

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