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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Auteurs principaux: Stefka Tyanova, Reidar Albrechtsen, Pauliina Kronqvist, Juergen Cox, Matthias Mann, Tamar Geiger
Format: article
Langue:EN
Publié: Nature Portfolio 2016
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Accès en ligne:https://doaj.org/article/624efee6adce4116946c6179f2b085b2
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