Using genetic markers to orient the edges in quantitative trait networks: The NEO software

2008155 citationsJournal Articlediamond Open Access

Authors

Jason E. Aten · University of California, Los Angeles

Tova F Fuller · University of California, Los Angeles

Aldons J. Lusis · University of California, Los Angeles

Steve Horvath · University of California, Los Angeles

Abstract

The NEO software can be used to orient the edges of gene co-expression networks or quantitative trait networks if the edges can be anchored to genetic marker data. R software tutorials, data, and supplementary material can be downloaded from: http://www.genetics.ucla.edu/labs/horvath/aten/NEO.

Topics & Keywords

Bioinformatics and Genomic Networks Genetic Mapping and Diversity in Plants and Animals Genetic Associations and Epidemiology

Publication Details

Published in: BMC Systems Biology

Volume 2, Issue 1, pp. 34-34

DOI: 10.1186/1752-0509-2-34

Field-Weighted Citation Impact: 5.93

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Using genetic markers to orient the edges in quantitative trait networks: The NEO software

Authors

Abstract

Topics & Keywords

Publication Details