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Computational Systems for Selection and Priorization of Candidate Genes that Underlie Human Hereditary Disease
- 1.0373338 - ÚI 2012 RIV CZ eng K - Konferenční příspěvek (tuzemská konf.)
Adášková, Jana
Computational Systems for Selection and Priorization of Candidate Genes that Underlie Human Hereditary Disease.
Doktorandské dny '07. Praha: Ústav informatiky AV ČR, v. v. i. & MATFYZPRESS, 2007 - (Hakl, F.), s. 2-7. ISBN 978-80-7378-019-7.
[Doktorandské dny '07 Ústavu informatiky AV ČR, v. v. i. Malá Úpa (CZ), 17.09.2007-19.09.2007]
Grant CEP: GA MŠMT(CZ) 1M06014
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: candidate gene selection * priorization * data mining * text mining * human heredity disease
Kód oboru RIV: IN - Informatika
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.
Trvalý link: http://hdl.handle.net/11104/0206452
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