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Author, Editor(s)

Author(s):

Doncheva, Nadezhda T
Kacprowski, Tim
Albrecht, Mario

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BibTeX cite key*:

Albrecht2012c

Title

Title*:

Recent approaches to the prioritization of candidate disease genes

Journal

Journal Title*:

Wiley Interdisciplinary Reviews: Systems Biology and Medicine

Journal's URL:

http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291939-005X

Download URL
for the article:

http://onlinelibrary.wiley.com/doi/10.1002/wsbm.1177/pdf

Language:

English

Publisher

Publisher's
Name:

Wiley

Publisher's URL:

http://onlinelibrary.wiley.com/

Publisher's
Address:

Chichester

ISSN:

1939-005X

Vol, No, pp, Date

Volume*:

4

Number:

5

Publishing Date:

2012

Pages*:

429-442

Number of
VG Pages:


Page Start:

429

Page End:

442

Sequence Number:


DOI:

10.1002/wsbm.1177

Note, Abstract, ©

Note:


(LaTeX) Abstract:

Many efforts are still devoted to the discovery of genes involved with specific phenotypes, in particular, diseases. High-throughput techniques are thus applied frequently to detect dozens or even hundreds of candidate genes. However, the experimental validation of many candidates is often an expensive and time-consuming task. Therefore, a great variety of computational approaches has been developed to support the identification of the most promising candidates for follow-up studies. The biomedical knowledge already available about the disease of interest and related genes is commonly exploited to find new gene–disease associations and to prioritize candidates. In this review, we highlight recent methodological advances in this research field of candidate gene prioritization. We focus on approaches that use network information and integrate heterogeneous data sources. Furthermore, we discuss current benchmarking procedures for evaluating and comparing different prioritization methods.

URL for the Abstract:

http://onlinelibrary.wiley.com/doi/10.1002/wsbm.1177/abstract

Categories,
Keywords:


HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


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Access Level:

Internal

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computational Biology and Applied Algorithmics

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort


BibTeX Entry:

@ARTICLE{Albrecht2012c,
AUTHOR = {Doncheva, Nadezhda T and Kacprowski, Tim and Albrecht, Mario},
TITLE = {Recent approaches to the prioritization of candidate disease genes},
JOURNAL = {Wiley Interdisciplinary Reviews: Systems Biology and Medicine},
PUBLISHER = {Wiley},
YEAR = {2012},
NUMBER = {5},
VOLUME = {4},
PAGES = {429--442},
ADDRESS = {Chichester},
ISBN = {1939-005X},
DOI = {10.1002/wsbm.1177},
}


Entry last modified by Anja Becker, 02/12/2013
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Editor(s)
[Library]
Created
12/18/2012 05:47:46 PM
Revisions
3.
2.
1.
0.
Editor(s)
Anja Becker
Nadezhda Tsankova Doncheva
Mario Albrecht
Nadezhda Tsankova Doncheva
Edit Dates
12.02.2013 13:36:13
01/28/2013 08:51:55 PM
01/05/2013 01:15:49 AM
12/18/2012 05:47:46 PM