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» Comparative analysis of biclustering algorithms
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BMCBI
2008
259views more  BMCBI 2008»
15 years 25 days ago
DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
Evert-Jan Blom, Sacha A. F. T. van Hijum, Klaas J....
130
Voted
BMCBI
2007
173views more  BMCBI 2007»
15 years 22 days ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
102
Voted
ICSE
2008
IEEE-ACM
16 years 1 months ago
Calysto: scalable and precise extended static checking
Automatically detecting bugs in programs has been a long-held goal in software engineering. Many techniques exist, trading-off varying levels of automation, thoroughness of covera...
Domagoj Babic, Alan J. Hu
107
Voted
RECOMB
2003
Springer
16 years 1 months ago
Transforming men into mice: the Nadeau-Taylor chromosomal breakage model revisited
Although analysis of genome rearrangements was pioneered by Dobzhansky and Sturtevant 65 years ago, we still know very little about the rearrangement events that produced the exis...
Pavel A. Pevzner, Glenn Tesler
146
Voted
SBRN
2008
IEEE
15 years 7 months ago
Multi-label Text Categorization Using VG-RAM Weightless Neural Networks
In automated multi-label text categorization, an automatic categorization system should output a category set, whose size is unknown a priori, for each document under analysis. Ma...
Claudine Badue, Felipe Pedroni, Alberto Ferreira d...