Pathway-based personalized analysis of breast cancer expression data
Analysis of high throughput data on cancer primarily uses an “atomistic” approach, representing a tumor in terms of single-gene properties. Furthermore, very little if any prior knowledge is incorporated in the analysis. Several recently introduced methods advocate characterization of a tumor in terms of “coarse grained” pathway-based variables. A very extensive recent study on breast cancer provides an excellent testing ground for these methods; in particular, of their robustness and ability to discover new knowledge and insights.
Source: Molecular Oncology - Category: Cancer & Oncology Authors: Anna Livshits, Anna Git, Garold Fuks, Carlos Caldas, Eytan Domany Source Type: research