TY - GEN
T1 - Efficient inferring method of genetic interactions based on time-series of gene expression profile
AU - Nakatsui, Masahiko
AU - Ueda, Takanori
AU - Maki, Yukihiro
AU - Ono, Isao
AU - Okamoto, Masahiro
PY - 2008
Y1 - 2008
N2 - Recent advances in technologies such as DNA microarrays have provided a mass of gene expression data on the genomic scale. One of the most important projects in post-genome-era is the systemic identification of gene expression networks. However, inferring internal gene expression structure from experimentally observed time-series data is an inverse problem. We have therefore developed a system for inferring network candidates based on experimental observations. Moreover, we have proposed an analytical method for extracting common core binomial genetic interactions from among various network candidates. Common core binomial genetic interactions are reliable interactions and are important in understanding the dynamic behavior of gene expression network. Here, we discuss an efficient method for inferring genetic interactions that combines a Step-by-step strategy [1] with an analytical method for extracting common core binomial genetic interactions.
AB - Recent advances in technologies such as DNA microarrays have provided a mass of gene expression data on the genomic scale. One of the most important projects in post-genome-era is the systemic identification of gene expression networks. However, inferring internal gene expression structure from experimentally observed time-series data is an inverse problem. We have therefore developed a system for inferring network candidates based on experimental observations. Moreover, we have proposed an analytical method for extracting common core binomial genetic interactions from among various network candidates. Common core binomial genetic interactions are reliable interactions and are important in understanding the dynamic behavior of gene expression network. Here, we discuss an efficient method for inferring genetic interactions that combines a Step-by-step strategy [1] with an analytical method for extracting common core binomial genetic interactions.
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M3 - Conference contribution
AN - SCOPUS:78449255451
SN - 9784990288020
T3 - Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08
SP - 71
EP - 76
BT - Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08
T2 - 13th International Symposium on Artificial Life and Robotics, AROB 13th'08
Y2 - 31 January 2008 through 2 February 2008
ER -