CGI: a new approach for prioritizing genes by combining gene expression and protein-protein interaction data

  title={CGI: a new approach for prioritizing genes by combining gene expression and protein-protein interaction data},
  author={Xiaotu Ma and Hyunju Lee and Li Wang and Fengzhu Sun},
  volume={23 2},
MOTIVATION Identifying candidate genes associated with a given phenotype or trait is an important problem in biological and biomedical studies. Prioritizing genes based on the accumulated information from several data sources is of fundamental importance. Several integrative methods have been developed when a set of candidate genes for the phenotype is available. However, how to prioritize genes for phenotypes when no candidates are available is still a challenging problem. RESULTS We develop… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 86 extracted citations

Risk and information evaluation of prioritized genes for complex traits: application to bipolar disorder.

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics • 2014
View 4 Excerpts
Highly Influenced

RETRACTED ARTICLE: Candidate gene prioritization

View 11 Excerpts
Highly Influenced

Knowledge-guided gene ranking by coordinative component analysis

BMC Bioinformatics • 2009
View 6 Excerpts
Highly Influenced

Biomedical Informatics

Encyclopedia of Machine Learning and Data Mining • 2017


Publications referenced by this paper.
Showing 1-10 of 42 references

Gene prioritization through genomic data fusion

Nature Biotechnology • 2006
View 5 Excerpts
Highly Influenced

Reconstruction of a functional human gene network, with an application for prioritizing positional candidate genes

L Franke
Am. J. Hum. Genet., • 2006

Genetic analysis of genome-wide variation in human gene expression

M Morley
Nucleic Acids Res., • 2004

Similar Papers

Loading similar papers…