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ECCB
2003
IEEE
15 years 7 months ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...
GMP
2006
IEEE
118views Solid Modeling» more  GMP 2006»
15 years 7 months ago
Computing a Family of Skeletons of Volumetric Models for Shape Description
Skeletons are important shape descriptors in object representation and recognition. Typically, skeletons of volumetric models are computed using iterative thinning. However, tradi...
Tao Ju, Matthew L. Baker, Wah Chiu
MMAS
2010
Springer
14 years 8 months ago
Incorporating Active Transport of Cellular Cargo in Stochastic Mesoscopic Models of Living Cells
We propose a new multiscale method to incorporate active transport of cargo particles in biological cells in stochastic, mesoscopic models of reaction-transport processes. Given a...
Andreas Hellander, Per Lötstedt
TCBB
2011
14 years 8 months ago
Semi-Markov Models for Brownian Dynamics Permeation in Biological Ion Channels
—Constructing accurate computational models that explain how ions permeate through a biological ion channel is an important problem in biophysics and drug design. Brownian dynami...
Vikram Krishnamurthy, Kai Yiu Luk
117
Voted
BMCBI
2007
142views more  BMCBI 2007»
15 years 1 months ago
Improving model construction of profile HMMs for remote homology detection through structural alignment
Background: Remote homology detection is a challenging problem in Bioinformatics. Arguably, profile Hidden Markov Models (pHMMs) are one of the most successful approaches in addre...
Juliana S. Bernardes, Alberto M. R. Dávila,...