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» Using Bayesian networks to analyze expression data
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RECOMB
2001
Springer
15 years 10 months ago
Context-specific Bayesian clustering for gene expression data
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
Yoseph Barash, Nir Friedman
AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
15 years 1 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
IPM
2007
139views more  IPM 2007»
14 years 9 months ago
A semantic Bayesian network approach to retrieving information with intelligent conversational agents
As access to information becomes more intensive in society, a great deal of that information is becoming available through diverse channels. Accordingly, users require effective ...
Kyoung Min Kim, Jin-Hyuk Hong, Sung-Bae Cho
67
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ATAL
2003
Springer
15 years 1 months ago
Analyzing the efficiency of strategies for MAS-based sensor interpretation and diagnosis
One of the factors holding back the application of multiagent, distributed approaches to large-scale sensor interpretation and diagnosis problems is the lack of good techniques fo...
Norman Carver, Ruj Akavipat
BMCBI
2010
165views more  BMCBI 2010»
14 years 9 months ago
Bayesian integrated modeling of expression data: a case study on RhoG
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...