Identification of key causal regulators in gene networks

Lecture Notes in Engineering and Computer Science

Volumn 2 LNECS, Issue , 2013, Pages 1309-1312

  Zhang, Bin ^a   Zhu, Jun ^a  

^a MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

Causal networks; Gene regulatory networks; Key drivers

Indexed keywords

CAUSAL NETWORK; CHRONIC DISEASE; GENE NETWORKS; GENE REGULATORY NETWORKS; IMMUNE RESPONSE; KEY REGULATORS; PHENOTYPIC CHANGES; QUANTITATIVE TRAIT LOCUS;

ALGORITHMS;

GENES;

EID: 84887979062     PISSN: 20780958     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Schadt, E.E., et al., An integrative genomics approach to infer causal associations between gene expression and disease. Nat Genet, 2005. 37(7): p. 710-7.
2. Zhu, J., et al., An integrative genomics approach to the reconstruction of gene networks in segregating populations. Cytogenet Genome Res, 2004. 105(2-4): p. 363-74.
3. Zhang, B., et al., A trust region method in adaptive finite element framework for bioluminescence tomography. Opt Express, 2010. 18(7): p. 6477-91.
4. ing, N. and I. Hoeschele, Genetical genomics analysis of a yeast segregant population for transcription network inference. Genetics, 2005. 170(2): p. 533-42.
5. Kulp, D.C. and M. Jagalur, Causal inference of regulatortarget pairs by gene mapping of expression phenotypes. BMC Genomics, 2006. 7: p. 125.
6. Zhu, J., et al., Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks. Nat Genet, 2008. 40(7): p. 854-61.
7. Yvert, G., et al., Trans-acting regulatory variation in Saccharomyces cerevisiae and the role of transcription factors. Nat Genet, 2003. 35(1): p. 57-64.
8. Millstein, J., et al., Disentangling molecular relationships with a causal inference test. BMC Genet, 2009. 10(1): p. 23.
9. Wang, I.M., et al., Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers. Mol Syst Biol, 2012. 8: p. 594.
10. Chen, Y., et al., Variations in DNA elucidate molecular networks that cause disease. Nature, 2008. 452(7186): p. 429- 35.
11. Lum, P.Y., et al., Elucidating the murine brain transcriptional network in a segregating mouse population to identify core functional modules for obesity and diabetes. J Neurochem, 2006. 97 Suppl 1: p. 50-62.
12. Emilsson, V., et al., Genetics of gene expression and its effect on disease. Nature, 2008. 452(7186): p. 423-8.
13. Yang, X., et al., Systematic genetic and genomic analysis of cytochrome P450 enzyme activities in human liver. Genome Res, 2010. 20(8): p. 1020-36.