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BMCBI
2006
134views more  BMCBI 2006»
13 years 10 months ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden
HT
1996
ACM
14 years 2 months ago
HyPursuit: A Hierarchical Network Search Engine that Exploits Content-Link Hypertext Clustering
HyPursuit is a new hierarchical network search engine that clusters hypertext documents to structure a given information space for browsing and search activities. Our content-link...
Ron Weiss, Bienvenido Vélez, Mark A. Sheldo...
TCAD
2008
114views more  TCAD 2008»
13 years 10 months ago
Word-Level Predicate-Abstraction and Refinement Techniques for Verifying RTL Verilog
el Predicate Abstraction and Refinement Techniques for Verifying RTL Verilog Himanshu Jain, Daniel Kroening, Natasha Sharygina, and Edmund M. Clarke, Fellow, IEEE As a first step, ...
Himanshu Jain, Daniel Kroening, Natasha Sharygina,...
BMCBI
2008
142views more  BMCBI 2008»
13 years 10 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
FUIN
2011
358views Cryptology» more  FUIN 2011»
13 years 1 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...