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» Statistical significance in biological sequence analysis
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GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
14 years 25 days ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
BMCBI
2005
132views more  BMCBI 2005»
13 years 7 months ago
Kalign - an accurate and fast multiple sequence alignment algorithm
Background: The alignment of multiple protein sequences is a fundamental step in the analysis of biological data. It has traditionally been applied to analyzing protein families f...
Timo Lassmann, Erik L. L. Sonnhammer
BMCBI
2011
13 years 2 months ago
Investigating the effect of paralogs on microarray gene-set analysis
Background: In order to interpret the results obtained from a microarray experiment, researchers often shift focus from analysis of individual differentially expressed genes to an...
Andre J. Faure, Cathal Seoighe, Nicola J. Mulder
BMCBI
2004
150views more  BMCBI 2004»
13 years 7 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
RECOMB
2002
Springer
14 years 8 months ago
Monotony of surprise and large-scale quest for unusual words
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
Alberto Apostolico, Mary Ellen Bock, Stefano Lonar...