Title
A biclustering algorithm with coherent evolution on the contiguous columns facing time-series gene data
Abstract
Biclustering technique has become an important tool in analysis of gene expression data. However, most traditional biclustering algorithms focus on biclustering model on non-continuous column. For time series gene expression data, these models neglect the important internal sequential relationship between the time intervals, thus it is not suitable for this kind of data. This paper proposes an effective and exact algorithm, which can be used to mine biclusters with coherent evolution on the contiguous columns on time series gene expression data. The experimental results show that the algorithm can find biclusters of statistical significance and rather strong biological relevance.
Year
DOI
Venue
2014
10.1109/FSKD.2014.6980855
FSKD
Keywords
Field
DocType
gene expression data analysis,pattern clustering,continuous columns,biclustering algorithm,time-series gene expression data,data analysis,time-series data,biology computing,biclustering,lab-on-a-chip,time series,noncontinuous column biclustering model,consistent evolution
Data mining,Pattern recognition,Computer science,Contiguity (probability theory),Artificial intelligence,Biclustering
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
7
Name
Order
Citations
PageRank
Yun Xue165.30
Meihang Li283.83
Zhengling Liao353.44
Jie Luo470673.44
TieChen Li583.57
Hua Xiao600.34
Xiao-Hui Hu7105.55