TY - GEN
T1 - Discovering gene clusters via integrated analysis on time-series and group-comparative microarray datasets
AU - Tseng, S.
AU - Chen, Lien Chin
AU - Hsieh, Yao Dung
PY - 2006
Y1 - 2006
N2 - In this paper, we propose a novel gene clustering method named TGmix through integrated analysis on two types of datasets, namely the time-series and two-group microarray datasets. The goal of the proposed method is to discover genes as biomarkers that have similar expression profiles in time-series conditions and are also significantly differentially expressed in two-group conditions. We applied the proposed method to microarray datasets for rat's wound healing experiment, and the genes discovered in the same cluster conform to the analysis goal with related biological functions.
AB - In this paper, we propose a novel gene clustering method named TGmix through integrated analysis on two types of datasets, namely the time-series and two-group microarray datasets. The goal of the proposed method is to discover genes as biomarkers that have similar expression profiles in time-series conditions and are also significantly differentially expressed in two-group conditions. We applied the proposed method to microarray datasets for rat's wound healing experiment, and the genes discovered in the same cluster conform to the analysis goal with related biological functions.
UR - http://www.scopus.com/inward/record.url?scp=33845578373&partnerID=8YFLogxK
U2 - 10.1109/CBMS.2006.76
DO - 10.1109/CBMS.2006.76
M3 - Conference contribution
AN - SCOPUS:33845578373
SN - 0769525172
SN - 9780769525174
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 177
EP - 182
BT - Proceedings - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
T2 - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
Y2 - 22 June 2006 through 23 June 2006
ER -