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» Scalable Rule-Based Gene Expression Data Classification
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AIME
2009
Springer
15 years 7 months ago
Effect of Background Correction on Cancer Classification with Gene Expression Data
This paper empirically compares six background correction methods aimed at removing unspecific background noise of the overall signal level measured by a scanner across microarrays...
Adelaide Freitas, Gladys Castillo, Ana São ...
BMCBI
2006
186views more  BMCBI 2006»
15 years 3 months ago
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
99
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NIPS
2004
15 years 5 months ago
PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data
We propose a "soft greedy" learning algorithm for building small conjunctions of simple threshold functions, called rays, defined on single real-valued attributes. We al...
Mario Marchand, Mohak Shah
105
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GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 9 months ago
Clustering gene expression data via mining ensembles of classification rules evolved using moses
Moshe Looks, Ben Goertzel, Lúcio de Souza C...