Literature DB >> 15838128

A literature based method for identifying gene-disease connections.

Lada A Adamic1, Dennis Wilkinson, Bernardo A Huberman, Eytan Adar.   

Abstract

We present a statistical method that can swiftly identify, from the literature, sets of genes known to be associated with given diseases. It offers a comprehensive way to treat alias symbols, a statistical method for computing the relevance of the gene to the query, and a novel way to disambiguate gene symbols from other abbreviations. The method is illustrated by finding genes related to breast cancer.

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Year:  2002        PMID： 15838128

Source DB:  PubMed          Journal:  Proc IEEE Comput Soc Bioinform Conf        ISSN： 1555-3930


  13 in total

1.  A method for finding communities of related genes.

Authors:  Dennis M Wilkinson; Bernardo A Huberman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-02       Impact factor: 11.205

2.  Semantic relations asserting the etiology of genetic diseases.

Authors:  Thomas C Rindflesch; Bisharah Libbus; Dimitar Hristovski; Alan R Aronson; Halil Kilicoglu
Journal:  AMIA Annu Symp Proc       Date:  2003

3.  BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literature.

Authors:  Cheng-Ju Kuo; Maurice H T Ling; Kuan-Ting Lin; Chun-Nan Hsu
Journal:  BMC Bioinformatics       Date:  2009-12-03       Impact factor: 3.169

4.  Identifying gene-disease associations using centrality on a literature mined gene-interaction network.

Authors:  Arzucan Ozgür; Thuy Vu; Günes Erkan; Dragomir R Radev
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

5.  A framework for annotating human genome in disease context.

Authors:  Wei Xu; Huisong Wang; Wenqing Cheng; Dong Fu; Tian Xia; Warren A Kibbe; Simon M Lin
Journal:  PLoS One       Date:  2012-12-10       Impact factor: 3.240

6.  Combining evidence, biomedical literature and statistical dependence: new insights for functional annotation of gene sets.

Authors:  Marc Aubry; Annabelle Monnier; Celine Chicault; Marie de Tayrac; Marie-Dominique Galibert; Anita Burgun; Jean Mosser
Journal:  BMC Bioinformatics       Date:  2006-05-04       Impact factor: 3.169

7.  Retrieval with gene queries.

Authors:  Aditya K Sehgal; Padmini Srinivasan
Journal:  BMC Bioinformatics       Date:  2006-04-21       Impact factor: 3.169

8.  The Autoimmune Disease Database: a dynamically compiled literature-derived database.

Authors:  Thomas Karopka; Juliane Fluck; Heinz-Theodor Mevissen; Anne Glass
Journal:  BMC Bioinformatics       Date:  2006-06-27       Impact factor: 3.169

9.  Identifying pathogenic processes by integrating microarray data with prior knowledge.

Authors:  Ståle Nygård; Trond Reitan; Trevor Clancy; Vegard Nygaard; Johannes Bjørnstad; Biljana Skrbic; Theis Tønnessen; Geir Christensen; Eivind Hovig
Journal:  BMC Bioinformatics       Date:  2014-04-24       Impact factor: 3.169

10.  Simulation of Swanson's literature-based discovery: anandamide treatment inhibits growth of gastric cancer cells in vitro and in silico.

Authors:  Weiwei Dong; Yixuan Liu; Weijie Zhu; Quan Mou; Jinliang Wang; Yi Hu
Journal:  PLoS One       Date:  2014-06-20       Impact factor: 3.240
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