TY - GEN
T1 - Gene clustering and gene function prediction using multiple sources of data
AU - Zare, Hossein
AU - Khodursky, Arkady B.
AU - Kaveh, Mostafa
PY - 2006
Y1 - 2006
N2 - Gene function prediction and gene clustering using biological information, including genome sequence, gene expression data, protein interaction data, phylogenetic data, etc., is an important step toward the inference of the gene regulatory network in the cell. Different types of data reveal different aspects of the relationships among the genes within a set. It is expected that each type of data has its own strengths and weaknesses in discovering specific relationships. We propose a new method to optimally cluster genes and to predict the function of unknown genes based on multiple sources of data by maximizing the total similarity gain function within all clusters.
AB - Gene function prediction and gene clustering using biological information, including genome sequence, gene expression data, protein interaction data, phylogenetic data, etc., is an important step toward the inference of the gene regulatory network in the cell. Different types of data reveal different aspects of the relationships among the genes within a set. It is expected that each type of data has its own strengths and weaknesses in discovering specific relationships. We propose a new method to optimally cluster genes and to predict the function of unknown genes based on multiple sources of data by maximizing the total similarity gain function within all clusters.
UR - http://www.scopus.com/inward/record.url?scp=48749124969&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48749124969&partnerID=8YFLogxK
U2 - 10.1109/GENSIPS.2006.353182
DO - 10.1109/GENSIPS.2006.353182
M3 - Conference contribution
AN - SCOPUS:48749124969
SN - 1424403855
SN - 9781424403851
T3 - 2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006
SP - 113
EP - 114
BT - 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006
T2 - 2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006
Y2 - 28 May 2006 through 30 May 2006
ER -