Unknown

Dataset Information

0

Clustering of genes into regulons using integrated modeling-COGRIM.


ABSTRACT: We present a Bayesian hierarchical model and Gibbs Sampling implementation that integrates gene expression, ChIP binding, and transcription factor motif data in a principled and robust fashion. COGRIM was applied to both unicellular and mammalian organisms under different scenarios of available data. In these applications, we demonstrate the ability to predict gene-transcription factor interactions with reduced numbers of false-positive findings and to make predictions beyond what is obtained when single types of data are considered.

SUBMITTER: Chen G 

PROVIDER: S-EPMC1839128 | biostudies-literature | 2007

REPOSITORIES: biostudies-literature

altmetric image

Publications

Clustering of genes into regulons using integrated modeling-COGRIM.

Chen Guang G   Jensen Shane T ST   Stoeckert Christian J CJ  

Genome biology 20070101 1


We present a Bayesian hierarchical model and Gibbs Sampling implementation that integrates gene expression, ChIP binding, and transcription factor motif data in a principled and robust fashion. COGRIM was applied to both unicellular and mammalian organisms under different scenarios of available data. In these applications, we demonstrate the ability to predict gene-transcription factor interactions with reduced numbers of false-positive findings and to make predictions beyond what is obtained wh  ...[more]

Similar Datasets

| S-EPMC124229 | biostudies-literature
| S-EPMC4492941 | biostudies-literature
| S-EPMC8294591 | biostudies-literature
| S-EPMC4524184 | biostudies-literature
| S-EPMC3315398 | biostudies-literature
| S-EPMC7146345 | biostudies-literature
| S-EPMC3607023 | biostudies-literature
| S-EPMC7924498 | biostudies-literature
| S-EPMC4476934 | biostudies-literature
| S-EPMC6723056 | biostudies-literature