✦ LIBER ✦

DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data

✍ Scribed by Marcel H Schulz, William E Devanny, Anthony Gitter, Shan Zhong, Jason Ernst, Ziv Bar-Joseph

Book ID: 119911985
Publisher: BioMed Central
Year: 2012
Tongue: English
Weight: 919 KB
Volume: 6
Category: Article
ISSN: 1752-0509
DOI: 10.1186/1752-0509-6-104

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Model selection in the reconstruction of

Model selection in the reconstruction of regulatory networks from time-series data

✍ Eugene Novikov; Emmanuel Barillot 📂 Article 📅 2009 🏛 BioMed Central 🌐 English ⚖ 591 KB

Integrating external biological knowledg

Integrating external biological knowledge in the construction of regulatory networks from time-series expression data

✍ Kenneth Lo, Adrian E Raftery, Kenneth M Dombek, Jun Zhu, Eric E Schadt, Roger E 📂 Article 📅 2012 🏛 BioMed Central 🌐 English ⚖ 384 KB

Benchmarking of Dynamic Bayesian Network

Benchmarking of Dynamic Bayesian Networks Inferred from Stochastic Time-Series Data

✍ LAWRENCE A. DAVID; CHRIS H. WIGGINS 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 169 KB

Inferring biomolecular regulatory networ

Inferring biomolecular regulatory networks from phase portraits of time-series expression profiles

✍ Kwang-Hyun Cho; Jeong-Rae Kim; Songjoon Baek; Hyung-Seok Choi; Sang-Mok Choo 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 247 KB

Inference of Gene Regulatory Networks wi

Inference of Gene Regulatory Networks with Variable Time Delay from Time-Series Microarray Data

✍ ElBakry, Ola; Ahmad, M. Omair; Swamy, M.N.S. 📂 Article 📅 2013 🏛 IEEE 🌐 English ⚖ 578 KB

Inference of Gene Regulatory Networks wi

Inference of Gene Regulatory Networks with Variable Time Delay from Time-Series Microarray Data

✍ ElBakry, Ola; Ahmad, M. Omair; Swamy, M.N.S. 📂 Article 📅 2013 🏛 IEEE 🌐 English ⚖ 578 KB

Regulatory interactions among genes and gene products are dynamic processes and hence modeling these processes is of great interest. Since genes work in a cascade of networks, reconstruction of gene regulatory network (GRN) is a crucial process for a thorough understanding of the underlying biologic