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» Comparison of Clique-Listing Algorithms
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BMCBI
2005
158views more  BMCBI 2005»
15 years 6 months ago
Automated generation of heuristics for biological sequence comparison
Background: Exhaustive methods of sequence alignment are accurate but slow, whereas heuristic approaches run quickly, but their complexity makes them more difficult to implement. ...
Guy St. C. Slater, Ewan Birney
BMCBI
2006
146views more  BMCBI 2006»
15 years 6 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
BMCBI
2004
146views more  BMCBI 2004»
15 years 6 months ago
The InDeVal insertion/deletion evaluation tool: a program for finding target regions in DNA sequences and for aiding in sequence
Background: The program InDeVal was originally developed to help researchers find known regions of insertion/deletion activity (with the exception of isolated single-base indels) ...
Sierra D. Stoneberg Holt, Jason A. Holt
BMCBI
2004
150views more  BMCBI 2004»
15 years 6 months ago
Cross-species comparison significantly improves genome-wide prediction of cis-regulatory modules in Drosophila
Background: The discovery of cis-regulatory modules in metazoan genomes is crucial for understanding the connection between genes and organism diversity. It is important to quanti...
Saurabh Sinha, Mark D. Schroeder, Ulrich Unnerstal...
AUSAI
2006
Springer
15 years 10 months ago
Clustering Similarity Comparison Using Density Profiles
The unsupervised nature of cluster analysis means that objects can be clustered in many different ways. This means that different clustering algorithms can lead to vastly different...
Eric Bae, James Bailey, Guozhu Dong