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» A framework for modelling virus gene expression data
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JMLR
2008
209views more  JMLR 2008»
15 years 4 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
ISMB
2000
15 years 5 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
BMCBI
2007
173views more  BMCBI 2007»
15 years 4 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
CSB
2005
IEEE
130views Bioinformatics» more  CSB 2005»
15 years 10 months ago
iSimBioSys: An "In Silico" Discrete Event Simulation Framework for Modeling Biological Systems
The genome projects have provided comprehensive information about the basic building blocks of life. The next challenge is to understand how biological functions emerge from compl...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...
ICDE
2004
IEEE
133views Database» more  ICDE 2004»
16 years 5 months ago
GenExplore: Interactive Exploration of Gene Interactions from Microarray Data
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Yong Ye, Xintao Wu, Kalpathi R. Subramanian, Liyin...