iDREM: Interactive visualization of dynamic regulatory networks.
The Dynamic Regulatory Events Miner (DREM) software reconstructs dynamic regulatory networks by integrating static protein-DNA interaction data with time series gene expression data. In recent years, several additional types of high-throughput time series data have been profiled when studying biolog...
Saved in:
| Main Authors: | Jun Ding, James S Hagood, Namasivayam Ambalavanan, Naftali Kaminski, Ziv Bar-Joseph |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2018-03-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006019&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A network-based approach for predicting missing pathway interactions.
by: Saket Navlakha, et al.
Published: (2012-01-01) -
Backup in gene regulatory networks explains differences between binding and knockout results
by: Anthony Gitter, et al.
Published: (2009-06-01) -
Predicting lung aging using scRNA-Seq data.
by: Qi Song, et al.
Published: (2024-12-01) -
Expression of regulatory platelet microRNAs in patients with sickle cell disease.
by: Shilpa Jain, et al.
Published: (2013-01-01) -
A semi-supervised method for predicting transcription factor-gene interactions in Escherichia coli.
by: Jason Ernst, et al.
Published: (2008-03-01)