TY - GEN
T1 - Fuzzy biclustering for DNA microarray data analysis
AU - Lixin, Han
AU - Hong, Yan
PY - 2008
Y1 - 2008
N2 - Fuzzy biclustering analysis Is a useful tool for identifying relevant subsets of microarray data. This paper proposes a fuzzy biclustering clustering method for microarray data analysis. The method employs a combination of the Nelder-Mead and min-max algorithm to construct hierarchically structured biclustering. The method can automatically identify the groups of genes that show similar expression patterns under a specific subset of the samples. © 2008 IEEE.
AB - Fuzzy biclustering analysis Is a useful tool for identifying relevant subsets of microarray data. This paper proposes a fuzzy biclustering clustering method for microarray data analysis. The method employs a combination of the Nelder-Mead and min-max algorithm to construct hierarchically structured biclustering. The method can automatically identify the groups of genes that show similar expression patterns under a specific subset of the samples. © 2008 IEEE.
UR - https://www.scopus.com/pages/publications/55249127545
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-55249127545&origin=recordpage
U2 - 10.1109/FUZZY.2008.4630513
DO - 10.1109/FUZZY.2008.4630513
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781424418190
SP - 1132
EP - 1138
BT - IEEE International Conference on Fuzzy Systems
T2 - 2008 IEEE International Conference on Fuzzy Systems (FUZZ 2008)
Y2 - 1 June 2008 through 6 June 2008
ER -