Gene Tree Labeling Using Nonnegative Matrix Factorization on Biomedical Literature
Joint Authors
Homayouni, Ramin
Berry, Michael W.
Heinrich, Kevin E.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-04-09
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Identifying functional groups of genes is a challenging problem for biological applications.
Text mining approaches can be used to build hierarchical clusters or trees from the information in the biological literature.
In particular, the nonnegative matrix factorization (NMF) is examined as one approach to label hierarchical trees.
A generic labeling algorithm as well as an evaluation technique is proposed, and the effects of different NMF parameters with regard to convergence and labeling accuracy are discussed.
The primary goals of this study are to provide a qualitative assessment of the NMF and its various parameters and initialization, to provide an automated way to classify biomedical data, and to provide a method for evaluating labeled data assuming a static input tree.
As a byproduct, a method for generating gold standard trees is proposed.
American Psychological Association (APA)
Heinrich, Kevin E.& Berry, Michael W.& Homayouni, Ramin. 2008. Gene Tree Labeling Using Nonnegative Matrix Factorization on Biomedical Literature. Computational Intelligence and Neuroscience،Vol. 2008, no. 2008, pp.1-12.
https://search.emarefa.net/detail/BIM-459654
Modern Language Association (MLA)
Heinrich, Kevin E.…[et al.]. Gene Tree Labeling Using Nonnegative Matrix Factorization on Biomedical Literature. Computational Intelligence and Neuroscience No. 2008 (2008), pp.1-12.
https://search.emarefa.net/detail/BIM-459654
American Medical Association (AMA)
Heinrich, Kevin E.& Berry, Michael W.& Homayouni, Ramin. Gene Tree Labeling Using Nonnegative Matrix Factorization on Biomedical Literature. Computational Intelligence and Neuroscience. 2008. Vol. 2008, no. 2008, pp.1-12.
https://search.emarefa.net/detail/BIM-459654
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459654