Pathway-based personalized analysis of cancer

By Y. Drier, Michal Sheffer, Eytan Domany. Proceedings of the National Academy of Sciences of the United States of America, 2013

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The value of prior knowledge in machine learning of complex network systems (2016, unknown): “We speculate that pathway-level data compression has been shown to be effective for real genomic datasets [13, 14, 15, 16, 17] because the pathways chosen are intrinsically selecting the genes known to show errant behavior in cancer, for example.”
Pathway and Network Analysis of Cancer Genomes (2015, methodology): “The Pathifier method 57 transforms gene-level information to network-level information by quantifying molecular activities on a continuous sample-by-sample curve in the multidimensional space of gene expression values.”