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» Algorithms for Finding Gene Clusters
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BMCBI
2010
144views more  BMCBI 2010»
14 years 11 months ago
Finding sRNA generative locales from high-throughput sequencing data with NiBLS
Background: Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the seque...
Daniel MacLean, Vincent Moulton, David J. Studholm...
BMCBI
2008
160views more  BMCBI 2008»
14 years 11 months ago
A comparison of four clustering methods for brain expression microarray data
Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
Alexander L. Richards, Peter Holmans, Michael C. O...
BIBE
2001
IEEE
188views Bioinformatics» more  BIBE 2001»
15 years 3 months ago
Interrelated Two-way Clustering: An Unsupervised Approach for Gene Expression Data Analysis
DNA arrays can be used to measure the expression levels of thousands of genes simultaneously. Currently most research focuses on the interpretation of the meaning of the data. How...
Chun Tang, Li Zhang, Aidong Zhang, Murali Ramanath...
BIBE
2010
IEEE
135views Bioinformatics» more  BIBE 2010»
14 years 12 months ago
Finding Dynamic Modules of Biological Regulatory Networks
—Often groups of genes in regulatory networks, also called modules, work collaboratively on similar functions. Mathematically, the modules in a regulatory network has often been ...
Ferhat Ay, Thang N. Dinh, My T. Thai, Tamer Kahvec...
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
16 years 1 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