Proteomic maps of breast cancer subtypes

Breast cancers have been extensively studied at the genomic and transcriptomic levels in the hope of tailoring therapeutic regimens. Here the authors generate deep coverage proteomes from several clinical breast cancer samples, and use machine learning techniques to uncover biological processes alte...

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Bibliographic Details
Main Authors: Stefka Tyanova, Reidar Albrechtsen, Pauliina Kronqvist, Juergen Cox, Matthias Mann, Tamar Geiger
Format: Article
Language:English
Published: Nature Publishing Group 2016-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/ncomms10259