Functional Classification of Genes Using Non-Negative Independent Component Analysis
In the last few years, several analysis methods have been proposed to assist in the functional interpretation of genome-wide data. To this aim, we explore the use of non-negative Independent Component Analysis (nnICA) for the classifi- cation of genes based on their associated functional annotations.
KeywordsGene Ontology Functional Annotation Independent Component Analysis Blind Signal Latent Semantic Indexing
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