TY - GEN
T1 - Gene networks viewed through two models
AU - Miyano, Satoru
AU - Yamaguchi, Rui
AU - Tamada, Yoshinori
AU - Nagasaki, Masao
AU - Imoto, Seiya
PY - 2009/8/11
Y1 - 2009/8/11
N2 - This paper presents our computational and measurement strategy for investigating gene networks from gene expression data using state space model and dynamic Bayesian network model with nonparametric regression. These methods are applied to gene expression data based on gene knockdowns and drug responses for generating large global maps of gene regulation which will light up the geography where drug target pathways lie down.
AB - This paper presents our computational and measurement strategy for investigating gene networks from gene expression data using state space model and dynamic Bayesian network model with nonparametric regression. These methods are applied to gene expression data based on gene knockdowns and drug responses for generating large global maps of gene regulation which will light up the geography where drug target pathways lie down.
UR - http://www.scopus.com/inward/record.url?scp=68249108820&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-00727-9_8
DO - 10.1007/978-3-642-00727-9_8
M3 - Conference contribution
AN - SCOPUS:68249108820
SN - 3642007260
SN - 9783642007262
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 54
EP - 66
BT - Bioinformatics and Computational Biology - First International Conference, BICoB 2009, Proceedings
T2 - 1st International Conference on Bioinformatics and Computational Biology, BICoB 2009
Y2 - 8 April 2009 through 10 April 2009
ER -