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» E-CAST: A Data Mining Algorithm for Gene Expression Data
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BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
13 years 8 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 8 months ago
Turning CARTwheels: an alternating algorithm for mining redescriptions
We present an unusual algorithm involving classification trees-CARTwheels--where two trees are grown in opposite directions so that they are joined at their leaves. This approach ...
Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malco...
BMCBI
2007
152views more  BMCBI 2007»
13 years 8 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
14 years 9 months ago
Mining Approximate Order Preserving Clusters in the Presence of Noise
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
Mengsheng Zhang, Wei Wang 0010, Jinze Liu
BMCBI
2008
85views more  BMCBI 2008»
13 years 8 months ago
Comprehensive analysis of circadian periodic pattern in plant transcriptome
Background: Circadian rhythm is a crucial factor in orchestration of plant physiology, keeping it in synchrony with the daylight cycle. Previous studies have reported that up to 1...
Andrey A. Ptitsyn