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» Finding Groups in Data: Cluster Analysis with Ants
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JMM2
2008
124views more  JMM2 2008»
13 years 6 months ago
Integrated Feature Selection and Clustering for Taxonomic Problems within Fish Species Complexes
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
Huimin Chen, Henry L. Bart Jr., Shuqing Huang
BMCBI
2008
126views more  BMCBI 2008»
13 years 6 months ago
Relating gene expression data on two-component systems to functional annotations in Escherichia coli
Background: Obtaining physiological insights from microarray experiments requires computational techniques that relate gene expression data to functional information. Traditionall...
Anne M. Denton, Jianfei Wu, Megan K. Townsend, Pre...
BMCBI
2006
92views more  BMCBI 2006»
13 years 6 months ago
Similarity-based gene detection: using COGs to find evolutionarily-conserved ORFs
Background: Experimental verification of gene products has not kept pace with the rapid growth of microbial sequence information. However, existing annotations of gene locations c...
Bradford C. Powell, Clyde A. Hutchison III
KDD
1999
ACM
147views Data Mining» more  KDD 1999»
13 years 11 months ago
Text Mining: Finding Nuggets in Mountains of Textual Data
Text mining appliesthe sameanalytical functions of datamining to the domainof textual information, relying on sophisticatedtext analysis techniques that distill information from f...
Jochen Dörre, Peter Gerstl, Roland Seiffert
BMCBI
2010
164views more  BMCBI 2010»
13 years 4 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...