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» Smoothing Gene Expression Using Biological Networks
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BMCBI
2007
152views more  BMCBI 2007»
13 years 9 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
BMCBI
2010
110views more  BMCBI 2010»
13 years 8 months ago
Improvements to previous algorithms to predict gene structure and isoform concentrations using Affymetrix Exon arrays
Background: Exon arrays provide a way to measure the expression of different isoforms of genes in an organism. Most of the procedures to deal with these arrays are focused on gene...
Miguel A. Anton, Ander Aramburu, Angel Rubio
BMCBI
2006
175views more  BMCBI 2006»
13 years 9 months ago
Parameter estimation for stiff equations of biosystems using radial basis function networks
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...
ICML
2010
IEEE
13 years 10 months ago
On learning with kernels for unordered pairs
We propose and analyze two strategies to learn over unordered pairs with kernels, and provide a common theoretical framework to compare them. The strategies are related to methods...
Martial Hue, Jean-Philippe Vert
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 10 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob