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Volumn 4774 LNBI, Issue , 2007, Pages 264-273

A framework for path analysis in gene regulatory networks

Author keywords

Causal model; Conditional indepence; D seperation

Indexed keywords

DYNAMICAL SYSTEMS; MICROARRAYS; MOTION PLANNING; PROBLEM SOLVING;

EID: 38349006842     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75286-8_26     Document Type: Conference Paper
Times cited : (3)

References (12)
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    • Ando, S., Iba, H.: Inference of gene regulatory model by genetic algorithms. In: Proc. Conference on Evolutionary Computation, pp. 712-719 (2001) [4] Wahde, M., Hertz, J.: Modeling genetic regulatory dynamics in neural development. Journal on Computational Biology 8, 429-442 (2001)
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    • de la Fuente, A., Bing, N., Hoeschele, I., Mendes, P.: Discovery of meaningful associations in genomic data using partial correlation coefficients. Bioinformatics 20(18), 3565-3574 (2004)
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  • 9
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    • Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization
    • Spellman, P.T., Sherlock, G., Zhang, M.Q., Iyer, V.R., Anders, K., Eisen, M.B., Brown, P.O., Botstein, D., Futcher, B.: Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. Mol. Biol. Cell. 9(12), 3273-3297 (1998)
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    • Spellman, P.T.1    Sherlock, G.2    Zhang, M.Q.3    Iyer, V.R.4    Anders, K.5    Eisen, M.B.6    Brown, P.O.7    Botstein, D.8    Futcher, B.9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.