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RECOMB
2003
Springer
15 years 10 months ago
An integrated probabilistic model for functional prediction of proteins
We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...
Minghua Deng, Ting Chen, Fengzhu Sun
CINQ
2004
Springer
138views Database» more  CINQ 2004»
15 years 3 months ago
Relevancy in Constraint-Based Subgroup Discovery
This chapter investigates subgroup discovery as a task of constraint-based mining of local patterns, aimed at describing groups of individuals with unusual distributional character...
Nada Lavrac, Dragan Gamberger
ICDM
2002
IEEE
173views Data Mining» more  ICDM 2002»
15 years 2 months ago
Mining Genes in DNA Using GeneScout
In this paper, we present a new system, called GeneScout, for predicting gene structures in vertebrate genomic DNA. The system contains specially designed hidden Markov models (HM...
Michael M. Yin, Jason Tsong-Li Wang
ICML
2005
IEEE
15 years 10 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
BMCBI
2007
140views more  BMCBI 2007»
14 years 10 months ago
Investigations into the relationship between feedback loops and functional importance of a signal transduction network based on
Background: A number of studies on biological networks have been carried out to unravel the topological characteristics that can explain the functional importance of network nodes...
Yung-Keun Kwon, Sun Shim Choi, Kwang-Hyun Cho