Article
Efficient exploration of pan-cancer networks by generalized covariance selection and interactive web content.
Nucleic acids research - 3 Sept 2015
Kling Teresia, Johansson Patrik, Sanchez José, Marinescu Voichita D, Jörnsten Rebecka, Nelander Sven
Abstract excerpt
Statistical network modeling techniques are increasingly important tools to analyze cancer genomics data. However, current tools and resources are not designed to work across multiple diagnoses and technical platforms, thus limiting their applicability to comprehensive pan-cancer datasets such as The Cancer Genome Atlas (TCGA). To address this, we describe a new data driven modeling method, based on generalized...
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