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Statistical identification of gene association by CID in application of constructing ER regulatory network
BACKGROUND: A variety of high-throughput techniques are now available for constructing comprehensive gene regulatory networks in systems biology. In this study, we report a new statistical approach for facilitating in silico inference of regulatory network structure. The new measure of association,...
Autores principales: | Liu, Li-Yu D, Chen, Chien-Yu, Chen, Mei-Ju M, Tsai, Ming-Shian, Lee, Cho-Han S, Phang, Tzu L, Chang, Li-Yun, Kuo, Wen-Hung, Hwa, Hsiao-Lin, Lien, Huang-Chun, Jung, Shih-Ming, Lin, Yi-Shing, Chang, King-Jen, Hsieh, Fon-Jou |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2679734/ https://www.ncbi.nlm.nih.gov/pubmed/19292896 http://dx.doi.org/10.1186/1471-2105-10-85 |
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