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Survival Analysis: A Self-Learning Text by David G. Kleinbaum, Mitchel Klein

Survival Analysis: A Self-Learning Text David G. Kleinbaum, Mitchel Klein ebook
Page: 596
ISBN: 0387239189, 9780387239187
Format: pdf
Publisher: Springer

We then apply this expression matrix for the superpc analysis [23] to search for linear combinations of network modules that are significantly correlated with patient survival or other clinically relevant criteria. Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health). Kleinbaum, Mitchel Klein, Survival Analysis: A Self-Learning Text Torrent, , Bitshare.com, Rapidgator.net, Ul.to, Uploaded.net and find direct links. Klein, Survival Analysis: A Self-Learning Text, Springer, New York, NY, USA, 2nd edition, 2005. Cancer: Survival Analysis: A Self-Learning Text (Statistics for Biology and Health). Loading Saturday, May 21, 2011. Survival analysis: a self-learning text By David G. Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets. Our method for discovering prognostic signatures builds on top of a human protein functional interaction (FI) network constructed by combining curated and uncurated data sources using a machine learning technique [24]. Home · 0day / 2012-05-06 / Springer.-.Survival.Analysis.A.Self-Learning.Text.Third.Edition.Aug.2011.Retail.Ebook-Ebookers, 3,60 MB. Release, Springer – Survival Analysis A Self-Learning Text Third Edition Aug 2011 Retail Ebook-Ebookers. This FI network covers roughly each tissue in the series.