Genome Biology

official impact factor 6.89

Open Access Highly Access

Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network

Bolan Linghu, Evan S Snitkin, Zhenjun Hu, Yu Xia and Charles DeLisi*

Genome Biology 2009, 10:R91 doi:10.1186/gb-2009-10-9-r91

Accesses  

  • Last 30 days: 154 accesses
  • Last 365 days: 1495 accesses
  • All time: 7693 accesses

Cited by

BioMed Central: 6 citations

Research article   Open Access

Prioritizing cancer-related genes with aberrant methylation based on a weighted protein-protein interaction network

Hui Liu, Jianzhong Su, Junhua Li, Hongbo Liu, Jie Lv, Boyan Li, Hong Qiao, Yan Zhang BMC Systems Biology 2011, 5:158 (11 October 2011)

Research article   Open Access Highly Accessed

ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples

Fantine Mordelet, Jean-Philippe Vert BMC Bioinformatics 2011, 12:389 (6 October 2011)

Research article   Open Access

Combinations of newly confirmed Glioma-Associated loci link regions on chromosomes 1 and 9 to increased disease risk

Tun-Hsiang Yang, Mark Kon, Jui-Hung Hung, Charles DeLisi BMC Medical Genomics 2011, 4:63 (9 August 2011)

Research   Open Access

Prioritization of disease microRNAs through a human phenome-microRNAome network

Qinghua Jiang, Yangyang Hao, Guohua Wang, Liran Juan, Tianjiao Zhang, Mingxiang Teng, Yunlong Liu, Yadong Wang BMC Systems Biology 2010, 4(Suppl 1):S2 (28 May 2010)

Research highlight   Free

Phenotypic connections in surprising places

Bolan Linghu, Charles DeLisi Genome Biology 2010, 11:116 (28 April 2010)

Connections have been revealed between very different human diseases using phenotype associations in other species

Method   Open Access Highly Accessed

Identification of functional modules that correlate with phenotypic difference: the influence of network topology

Jui-Hung Hung, Troy W Whitfield, Tun-Hsiang Yang, Zhenjun Hu, Zhiping Weng, Charles DeLisi Genome Biology 2010, 11:R23 (26 February 2010)

A gene set enrichment analysis method for including network topology in the identification of genes involved in phenotypic alterations is described. Classifications: Genome studies, Methods