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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
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 |
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