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» Using Bayesian networks to analyze expression data
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BMCBI
2010
164views more  BMCBI 2010»
14 years 10 months ago
Gene regulatory networks modelling using a dynamic evolutionary hybrid
Background: Inference of gene regulatory networks is a key goal in the quest for understanding fundamental cellular processes and revealing underlying relations among genes. With ...
Ioannis A. Maraziotis, Andrei Dragomir, Dimitris T...
RECOMB
2005
Springer
15 years 10 months ago
Combinatorial Genetic Regulatory Network Analysis Tools for High Throughput Transcriptomic Data
: A series of genome-scale algorithms and high-performance implementations is described and shown to be useful in the genetic analysis of gene transcription. With them it is possib...
Elissa J. Chesler, Michael A. Langston
127
Voted
JCB
2008
159views more  JCB 2008»
14 years 10 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
89
Voted
EUSFLAT
2009
134views Fuzzy Logic» more  EUSFLAT 2009»
14 years 8 months ago
Flow Line Systems with Possibilistic Data: a System with Waiting Time in Line Uncertain
This paper proposes to analyze two flow line systems in which we include possibilistic data -the priority-discipline is possibilistic instead of probabilistic- and measure the perf...
David de la Fuente, María José Pardo
BMCBI
2010
122views more  BMCBI 2010»
14 years 5 months ago
Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PF
Background: A new paradigm of biological investigation takes advantage of technologies that produce large high throughput datasets, including genome sequences, interactions of pro...
Troy Hawkins, Meghana Chitale, Daisuke Kihara