Computational Systems for Selection and Priorization of Candidate Genes that Underlie Human Hereditary Disease
1.
SYSNO ASEP
0373338
Document Type
K - Proceedings Paper (Czech conf.)
R&D Document Type
Conference Paper
Title
Computational Systems for Selection and Priorization of Candidate Genes that Underlie Human Hereditary Disease
Author(s)
Adášková, Jana (UIVT-O)
Source Title
Doktorandské dny '07. - Praha : Ústav informatiky AV ČR, v. v. i. & MATFYZPRESS, 2007 / Hakl F.
- ISBN 978-80-7378-019-7
S. 2-7
Number of pages
6 s.
Action
Doktorandské dny '07 Ústavu informatiky AV ČR, v. v. i.
Event date
17.09.2007-19.09.2007
VEvent location
Malá Úpa
Country
CZ - Czech Republic
Event type
CST
Language
eng - English
Country
CZ - Czech Republic
Keywords
candidate gene selection ; priorization ; data mining ; text mining ; human heredity disease
Subject RIV
IN - Informatics, Computer Science
R&D Projects
1M06014 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ
AV0Z10300504 - UIVT-O (2005-2011)
Annotation
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.
