✦ LIBER ✦

Gene networks reconstruction and time-series prediction from microarray data using recurrent neural fuzzy networks

✍ Scribed by Maraziotis, I.A.; Dragomir, A.; Bezerianos, A.

Book ID: 117813193
Publisher: The Institution of Engineering and Technology
Year: 2007
Tongue: English
Weight: 458 KB
Volume: 1
Category: Article
ISSN: 1751-8849
DOI: 10.1049/iet-syb:20050107

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Reconstructing gene regulatory networks

Reconstructing gene regulatory networks from time-series microarray data

✍ S.P. Li; J.J. Tseng; S.C. Wang 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 205 KB

A gene regulatory network depicts which genes turn on which and at what moment. Knowledge of such gene networks is key to an understanding of the biological process. We propose here to use a statistical method for the reconstruction of gene regulatory networks based on Bayesian networks from microar

Noisy Time Series Prediction using Recur

Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference

✍ C. Lee Giles; Steve Lawrence; Ah Chung Tsoi 📂 Article 📅 2001 🏛 Springer 🌐 English ⚖ 197 KB

Reconstructing gene-regulatory networks

Reconstructing gene-regulatory networks from time series, knock-out data, and prior knowledge

✍ Florian Geier; Jens Timmer; Christian Fleck 📂 Article 📅 2007 🏛 BioMed Central 🌐 English ⚖ 422 KB

Time series prediction using PSO-optimiz

Time series prediction using PSO-optimized neural network and hybrid feature selection algorithm for IEEE load data

✍ Sheikhan, Mansour; Mohammadi, Najmeh 📂 Article 📅 2012 🏛 Springer-Verlag 🌐 English ⚖ 341 KB

[IEEE 1995 IEEE International Conference

[IEEE 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century - Vancouver, BC, Canada (22-25 Oct. 1995)] 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century - Active noise control by using prediction of time series data with a neural network

✍ Matsuura, T.; Hiei, T.; Itoh, H.; Torikoshi, K. 📂 Article 📅 1995 🏛 IEEE 🌐 English ⚖ 407 KB