TY - GEN
T1 - Inference of gene expression regulation via microRNA transfection
AU - Taguchi, Y. H.
AU - Yasuda, Jun
PY - 2010
Y1 - 2010
N2 - How each microRNA regulates gene expression is unknown problem. Especially, which gene is targeted by each microRNA is mainly depicted via computational method, typically without biological/ experimental validations. In this paper, we propose a computational method to detect gene expression regulation via miRNAs by the use of expression profile data and miRNA target prediction. This method is tested to miRNA transfection experiments to tumor cells and succeeded in inference of transfected miRNA.
AB - How each microRNA regulates gene expression is unknown problem. Especially, which gene is targeted by each microRNA is mainly depicted via computational method, typically without biological/ experimental validations. In this paper, we propose a computational method to detect gene expression regulation via miRNAs by the use of expression profile data and miRNA target prediction. This method is tested to miRNA transfection experiments to tumor cells and succeeded in inference of transfected miRNA.
KW - computational inference
KW - microRNA
KW - target genes
KW - tumor
UR - http://www.scopus.com/inward/record.url?scp=77958487338&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77958487338&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-14922-1_84
DO - 10.1007/978-3-642-14922-1_84
M3 - Conference contribution
AN - SCOPUS:77958487338
SN - 3642149219
SN - 9783642149214
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 672
EP - 679
BT - Advanced Intelligent Computing Theories and Applications - 6th International Conference on Intelligent Computing, ICIC 2010, Proceedings
T2 - 6th International Conference on Intelligent Computing, ICIC 2010
Y2 - 18 August 2010 through 21 August 2010
ER -