Biomarker Identification by Knowledge-Driven Multi-Level ICA and Motif Analysis

Abstract

Many statistical methods often fail to identify biologically meaningful biomarkers related to a specific disease under study from expression data alone. In this paper, we develop a novel strategy, namely knowledge-driven multi-level independent component analysis (ICA), to infer regulatory signals and identify biologically relevant biomarkers from… (More)
DOI: 10.1109/ICMLA.2007.58

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