58 search results - page 1 / 12 » Rich probabilistic models for gene expression |
ISMB
2001
13 years 9 months ago
2001
ISMB
2000
13 years 9 months ago
2000
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 ...
BMEI
2009
IEEE
13 years 8 months ago
2009
IEEE
Abstract--Finding differentially expressed genes is a fundamental objective of a microarray experiment. Recently proposed method, PPLR, considers the probe-level measurement error ...
KDD
2001
ACM
14 years 8 months ago
2001
ACM
PSB
2003
13 years 9 months ago
2003
We propose a probabilistic model for cellular processes, and an algorithm for discovering them from gene expression data. A process is associated with a set of genes that particip...