Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data

Genomic and radiomic imaging profiles of invasive breast carcinomas from The Cancer Genome Atlas and The Cancer Imaging Archive were integrated and a comprehensive analysis was conducted to predict clinical outcomes using the radiogenomic features. Variable selection via LASSO and logistic regressio...

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Dettagli Bibliografici
Pubblicato in:J Med Imaging (Bellingham)
Autori principali: Guo, Wentian, Li, Hui, Zhu, Yitan, Lan, Li, Yang, Shengjie, Drukker, Karen, Morris, Elizabeth, Burnside, Elizabeth, Whitman, Gary, Giger, Maryellen L., Ji, Yuan, TCGA Breast Phenotype Research Group
Natura: Artigo
Lingua:Inglês
Pubblicazione: Society of Photo-Optical Instrumentation Engineers 2015
Soggetti:
Special Section on Radiomics and Imaging Genomics
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4718467/
https://ncbi.nlm.nih.gov/pubmed/26835491
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.2.4.041007
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