+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

An automated procedure for the extraction of metabolic network information from time series data



An automated procedure for the extraction of metabolic network information from time series data



Journal of Bioinformatics and Computational Biology 4(3): 665-691



Novel high-throughput measurement techniques in vivo are beginning to produce dense high-quality time series which can be used to investigate the structure and regulation of biochemical networks. We propose an automated information extraction procedure which takes advantage of the unique S-system structure and supports model building from time traces, curve fitting, model selection, and structure identification based on parameter estimation.

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 011748578

Download citation: RISBibTeXText

PMID: 16960969

DOI: 10.1142/S0219720006002259


Related references

A Strategy for Functional Interpretation of Metabolomic Time Series Data in Context of Metabolic Network Information. Frontiers in Molecular Biosciences 3: 6-6, 2016

Inference of responsive metabolic pathways from time-series transcriptomic data with consideration of the metabolic network structure. Integrative Biology 4(8): 889-896, 2012

Robust Automated Step Extraction From Time-Series Contact Force Data Using the PDShoe. IEEE Transactions on Neural Systems and Rehabilitation Engineering 23(6): 1012-1019, 2016

GIS-based automated time-series remote sensing data conversion and information retrieval. Abstracts with Programs - Geological Society of America 36(5): 149, 2004

Successful network inference from time-series data using mutual information rate. Chaos 26(4): 043102-043102, 2016

Identification of a metabolic reaction network from time-series data of metabolite concentrations. Plos One 8(1): E51212-E51212, 2013

Information Extraction and Space-Time Series Analysis on MODIS Infrared Anomaly Data in Yunnan Region. Sensor Letters 11(6-7): 1359-1365, 2013

Study on extraction of crop information using time-series MODIS data in the Chao Phraya Basin of Thailand. Advances in Space Research 45(6): 775-784, 2010

A novel mutual information-based Boolean network inference method from time-series gene expression data. Plos One 12(2): E0171097-E0171097, 2017

Feature extraction for time-series data: An artificial neural network evolutionary training model for the management of mountainous watersheds. Neurocomputing 73(1-3): 49-59, 2009

PhenoRice: A method for automatic extraction of spatio-temporal information on rice crops using satellite data time series. Remote Sensing of Environment 194: 347-365, 2017

Non-linear time series analysis of combustion pressure data for neural network training with the concept of mutual information. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering 215(2): 299-304, 2001

Time series prediction by a neural network model based on bi-directional computation style: A study on generalization performance with the computer-generated time series Data Set D. Systems and Computers in Japan 34(10): 64-75, 2003

Automated extraction of drainage network and watershed data from digital elevation models. Water resources bulletin 29(6): 901-908, 1993

Automated Data Aggregation for Time-Series Analysis: Study Case on Anaesthesia Data Warehouse. Studies in Health Technology and Informatics 221: 102-106, 2016