Chapter title |
The SDREM Method for Reconstructing Signaling and Regulatory Response Networks: Applications for Studying Disease Progression.
|
---|---|
Chapter number | 30 |
Book title |
Systems Biology of Alzheimer's Disease
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-2627-5_30 |
Pubmed ID | |
Book ISBNs |
978-1-4939-2626-8, 978-1-4939-2627-5
|
Authors |
Gitter, Anthony, Bar-Joseph, Ziv, Anthony Gitter, Ziv Bar-Joseph |
Editors |
Juan I. Castrillo, Stephen G. Oliver |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 64% |
Student > Ph. D. Student | 1 | 9% |
Professor > Associate Professor | 1 | 9% |
Other | 1 | 9% |
Unknown | 1 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 36% |
Medicine and Dentistry | 2 | 18% |
Biochemistry, Genetics and Molecular Biology | 1 | 9% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
Social Sciences | 1 | 9% |
Other | 1 | 9% |
Unknown | 1 | 9% |