Applying of Hierarchical Clustering to Analysis of Protein Patterns in the Human Cancer-Associated Liver

BACKGROUND: 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 the task can be to mi...

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Detalles Bibliográficos
Autores principales: Petushkova, Natalia A., Pyatnitskiy, Mikhail A., Rudenko, Vladislav A., Larina, Olesya V., Trifonova, Oxana P., Kisrieva, Julya S., Samenkova, Natalia F., Kuznetsova, Galina P., Karuzina, Irina I., Lisitsa, Andrey V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4118999/
https://www.ncbi.nlm.nih.gov/pubmed/25083712
http://dx.doi.org/10.1371/journal.pone.0103950

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4118999/
https://www.ncbi.nlm.nih.gov/pubmed/25083712
http://dx.doi.org/10.1371/journal.pone.0103950

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