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» FARMER: Finding Interesting Rule Groups in Microarray Datase...
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SIGMOD
2004
ACM
196views Database» more  SIGMOD 2004»
12 years 1 months ago
FARMER: Finding Interesting Rule Groups in Microarray Datasets
Microarray datasets typically contain large number of columns but small number of rows. Association rules have been proved to be useful in analyzing such datasets. However, most e...
Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, Ji...
ICPR
2006
IEEE
12 years 2 months ago
Finding Rule Groups to Classify High Dimensional Gene Expression Datasets
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
Jiyuan An, Yi-Ping Phoebe Chen
VLDB
2004
ACM
115views Database» more  VLDB 2004»
11 years 6 months ago
Semantic Mining and Analysis of Gene Expression Data
Association rules can reveal biological relevant relationship between genes and environments / categories. However, most existing association rule mining algorithms are rendered i...
Xin Xu, Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Ant...
BMCBI
2010
187views more  BMCBI 2010»
11 years 1 months ago
PathEx: a novel multi factors based datasets selector web tool
Background: Microarray experiments have become very popular in life science research. However, if such experiments are only considered independently, the possibilities for analysi...
Eric Bareke, Michael Pierre, Anthoula Gaigneaux, B...
BMCBI
2005
110views more  BMCBI 2005»
11 years 1 months ago
ProGenExpress: Visualization of quantitative data on prokaryotic genomes
Background: The integration of genomic information with quantitative experimental data is a key component of systems biology. An increasing number of microbial genomes are being s...
Michael Watson
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