Conditional random field for candidate gene prioritization

2013 ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics, ACM-BCB 2013

Volumn , Issue , 2013, Pages 700-701

  Xie, Bingqing ^a   Agam, Gady ^a   Maltsev, Natalia ^b   Gilliam, Conrad ^b  

^a Illinois Institute of Technology   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

Belief propagation; Combined features and network; Conditional random field; Gene prioritization; Regularization; Sparse feature spaces

Indexed keywords

BELIEF PROPAGATION; COMBINED FEATURES; CONDITIONAL RANDOM FIELD; GENE PRIORITIZATION; REGULARIZATION; SPARSE FEATURES;

EXPERIMENTS; GENES; RANDOM PROCESSES;

BIOINFORMATICS;

EID: 84888161618     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2506583.2512374     Document Type: Conference Paper

References (7)

1. B. Xie et al. Prediction of candidate genes for neuropsychiatric disorders using feature-based enrichment. In ACM-BCB, 2012.
2. Charles Tranchevent et al. A guide to web tools to prioritize candidate genes. Briefings in Bioinformatics, pages 22-32, 2010.
3. Daniela Bornigen et al. Critical assessment of candidate gene prioritization methods. Bioinformatics, 2011.
4. Jing Chen et al. Disease candidate gene identification and prioritization using protein interaction networks. BMC Bioinformatics, 10(1):73, 2009.
5. Leon-Charles Tranchevent et al. Endeavour update: A web resource for gene prioritization in multiple species. Nucleic Acids Research, 36:W377-W384, 2008.
6. Nitsch et al. Pinta: A web server for network-based gene prioritization from expression data. Nucleic Acids Res, 2011.
7. M. Schmidt. Ugm: Matlab code for undirected graphical models. http://www.di.ens.fr/mschmidt/Software/UGM.html/2011.