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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Bibliographische Detailangaben
Veröffentlicht in:J Med Imaging (Bellingham)
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: Society of Photo-Optical Instrumentation Engineers 2015
Schlagworte:
Special Section on Radiomics and Imaging Genomics
Online Zugang: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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