Applying of hierarchical clustering to analysis of protein patterns in the human cancer-associated liver.

Applying of hierarchical clustering to analysis of protein patterns in the human cancer-associated liver.

<h4>Background</h4>There are two ways that statistical methods can learn from biomedical data. One way is to learn classifiers to identify diseases and to predict outcomes using the training dataset with established diagnosis for each sample. When the training dataset is not available th...

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Main Authors: Natalia A Petushkova, Mikhail A Pyatnitskiy, Vladislav A Rudenko, Olesya V Larina, Oxana P Trifonova, Julya S Kisrieva, Natalia F Samenkova, Galina P Kuznetsova, Irina I Karuzina, Andrey V Lisitsa
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25083712/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25083712/?tool=EBI

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