58 search results - page 1 / 12 » Rich probabilistic models for gene expression |
69
Voted
ISMB
2001
15 years 1 months ago
2001
103
click to vote
ISMB
2000
15 years 1 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
15 years 24 days 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
16 years 2 days ago
2001
ACM
84
Voted
PSB
2003
15 years 1 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...