کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1152935 1489899 2010 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An integrative pathway-based clinical–genomic model for cancer survival prediction
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
پیش نمایش صفحه اول مقاله
An integrative pathway-based clinical–genomic model for cancer survival prediction
چکیده انگلیسی

Prediction models that use gene expression levels are now being proposed for personalized treatment of cancer, but building accurate models that are easy to interpret remains a challenge. In this paper, we describe an integrative clinical–genomic approach that combines both genomic pathway and clinical information. First, we summarize information from genes in each pathway using Supervised Principal Components (SPCA) to obtain pathway-based genomic predictors. Next, we build a prediction model based on clinical variables and pathway-based genomic predictors using Random Survival Forests (RSF). Our rationale for this two-stage procedure is that the underlying disease process may be influenced by environmental exposure (measured by clinical variables) and perturbations in different pathways (measured by pathway-based genomic variables), as well as their interactions. Using two cancer microarray datasets, we show that the pathway-based clinical–genomic model outperforms gene-based clinical–genomic models, with improved prediction accuracy and interpretability.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Statistics & Probability Letters - Volume 80, Issues 17–18, 1–15 September 2010, Pages 1313–1319
نویسندگان
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