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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Detalles Bibliográficos
Publicado en:J Med Imaging (Bellingham)
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado: Society of Photo-Optical Instrumentation Engineers 2015
Assuntos:
Special Section on Radiomics and Imaging Genomics
Acceso en liña: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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