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...

Full description

Saved in:
Bibliographic Details
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:EN
Published: Public Library of Science (PLoS) 2014
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/19e68aad4d1042b8af826bda1c4f9e10
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/19e68aad4d1042b8af826bda1c4f9e10

Similar Items