Original title: Computational Systems for Selection and Priorization of Candidate Genes that Underlie Human Hereditary Disease
Authors: Adášková, Jana
Document type: Papers
Conference/Event: Doktorandské dny '07 Ústavu informatiky AV ČR, v. v. i., Malá Úpa (CZ), 2007-09-17 / 2007-09-19
Year: 2007
Language: eng
Abstract: The aim of this paper is to present an overview of six independent computational methods for the selection and prioritization of candidate genes for human diseases and, rather than selecting a best method, to offer the prospective user a better understanding of the inputs, outputs and functionality of each available method. A survey of these methods also offers the bioinformatics community an opportunity to assess the efficacy of current computational approaches to disease gene identification, and informs future directions for research in this field.
Keywords: candidate gene selection; data mining; human heredity disease; priorization; text mining
Project no.: CEZ:AV0Z10300504 (CEP), 1M06014 (CEP)
Funding provider: GA MŠk
Host item entry: Doktorandské dny '07, ISBN 978-80-7378-019-7
Rights: This work is protected under the Copyright Act No. 121/2000 Coll.

Institution: Institute of Computer Science AS ČR (web)
Original record: http://hdl.handle.net/11104/0206452

Permalink: http://www.nusl.cz/ntk/nusl-85050


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