A text-based computational framework for patient -specific modeling for classification of cancers-Reference-Cited by-同舟云学术

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A text-based computational framework for patient -specific modeling for classification of cancers

Published:2022-03 Issue:3 Volume:25 Page:103944
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Imoto Hiroaki,Yamashiro Sawa^ORCID,Okada Mariko

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference52 articles.

1. ERBB receptors: from oncogene discovery to basic science to mechanism-based cancer therapeutics;Arteaga;Cancer Cell,2014

2. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity;Barretina;Nature,2012

3. Ligand-dependent responses of the ErbB signaling network: experimental and modeling analyses;Birtwistle;Mol. Syst. Biol.,2007

4. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples;Cibulskis;Nat. Biotechnol.,2013

5. Executable cancer models: successes and challenges;Clarke;Nat. Rev. Cancer,2020

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