Format

Send to

Choose Destination
Methods Mol Biol. 2016;1303:493-506. doi: 10.1007/978-1-4939-2627-5_30.

The SDREM Method for Reconstructing Signaling and Regulatory Response Networks: Applications for Studying Disease Progression.

Author information

1
Microsoft Research, Cambridge, MA, 02142, USA, gitter@biostat.wisc.edu.

Abstract

The Signaling and Dynamic Regulatory Events Miner (SDREM) is a powerful computational approach for identifying which signaling pathways and transcription factors control the temporal cellular response to a stimulus. SDREM builds end-to-end response models by combining condition-independent protein-protein interactions and transcription factor binding data with two types of condition-specific data: source proteins that detect the stimulus and changes in gene expression over time. Here we describe how to apply SDREM to study human diseases, using epidermal growth factor (EGF) response impacting neurogenesis and Alzheimer's disease as an example.

PMID:
26235087
DOI:
10.1007/978-1-4939-2627-5_30
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Springer
Loading ...
Support Center