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» Evaluation of clustering algorithms for gene expression data
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BMCBI
2010
118views more  BMCBI 2010»
15 years 6 months ago
Bacillus anthracis genome organization in light of whole transcriptome sequencing
Emerging knowledge of whole prokaryotic transcriptomes could validate a number of theoretical concepts introduced in the early days of genomics. What are the rules connecting gene...
Jeffrey Martin, Wenhan Zhu, Karla D. Passalacqua, ...
BMCBI
2004
180views more  BMCBI 2004»
15 years 6 months ago
Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
Background: A major goal of cancer research is to identify discrete biomarkers that specifically characterize a given malignancy. These markers are useful in diagnosis, may identi...
Virginie M. Aris, Michael J. Cody, Jeff Cheng, Jam...
195
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EVOW
2006
Springer
15 years 10 months ago
A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
Edmundo Bonilla Huerta, Béatrice Duval, Jin...
CIMCA
2005
IEEE
16 years 8 days ago
A New Evolutionary Algorithm for Determining the Optimal Number of Clusters
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré
ICDM
2002
IEEE
173views Data Mining» more  ICDM 2002»
15 years 11 months ago
Mining Genes in DNA Using GeneScout
In this paper, we present a new system, called GeneScout, for predicting gene structures in vertebrate genomic DNA. The system contains specially designed hidden Markov models (HM...
Michael M. Yin, Jason Tsong-Li Wang