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Intelligent Text Processing Techniques for Textual-Profile Gene Characterization
[chapter]
2010
Lecture Notes in Computer Science
We present a suite of Machine Learning and knowledge-based components for textual-profile based gene prioritization. Most genetic diseases are characterized by many potential candidate genes that can cause the disease. Gene expression analysis typically produces a large number of co-expressed genes that could be potentially responsible for a given disease. Extracting prior knowledge from text-based genomic information sources is essential in order to reduce the list of potential candidate genes
doi:10.1007/978-3-642-14571-1_3
fatcat:mh565fttxzhsbca33hv3fcxtwu