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UAI
2003
13 years 9 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
ICML
2003
IEEE
14 years 8 months ago
Learning Distance Functions using Equivalence Relations
We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a sim...
Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daph...
BMCBI
2008
153views more  BMCBI 2008»
13 years 7 months ago
Version VI of the ESTree db: an improved tool for peach transcriptome analysis
Background: The ESTree database (db) is a collection of Prunus persica and Prunus dulcis EST sequences that in its current version encompasses 75,404 sequences from 3 almond and 1...
Barbara Lazzari, Andrea Caprera, Alberto Vecchiett...
BMCBI
2007
153views more  BMCBI 2007»
13 years 7 months ago
A new pairwise kernel for biological network inference with support vector machines
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
BMCBI
2008
128views more  BMCBI 2008»
13 years 7 months ago
Efficient computation of absent words in genomic sequences
Background: Analysis of sequence composition is a routine task in genome research. Organisms are characterized by their base composition, dinucleotide relative abundance, codon us...
Julia Herold, Stefan Kurtz, Robert Giegerich