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BMCBI
2010
123views more  BMCBI 2010»
13 years 2 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke
EAAI
2007
93views more  EAAI 2007»
13 years 7 months ago
Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support
: In knowledge discovery and data mining many measures of interestingness have been proposed in order to measure the relevance and utility of the discovered patterns. Among these m...
Izabela Brzezinska, Salvatore Greco, Roman Slowins...
EDBT
2009
ACM
133views Database» more  EDBT 2009»
14 years 15 hour ago
Schema-conscious filtering of XML documents
In a publish-subscribe system based on filtering of XML documents, subscribers specify their interests with profiles expressed in the XPath language. The system processes a stre...
Panu Silvasti, Seppo Sippu, Eljas Soisalon-Soinine...
RECOMB
2010
Springer
13 years 9 months ago
Algorithms for Detecting Significantly Mutated Pathways in Cancer
Abstract. Recent genome sequencing studies have shown that the somatic mutations that drive cancer development are distributed across a large number of genes. This mutational heter...
Fabio Vandin, Eli Upfal, Benjamin J. Raphael
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
14 years 7 months ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram