Methodology article
Least-squares methods for identifying biochemical regulatory networks from noisy measurements
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* Corresponding author: Kwang-Hyun Cho ckh-sb@snu.ac.kr
1 Department of Engineering, University of Leicester, Leicester, LE1 7RH, UK
2 Department of Biology, University of Leicester, Leicester, LE1 7RH, UK
3 College of Medicine, Seoul National University, Jongno-gu, Seoul, 110-799, Korea
4 Bio-MAX Institute, Seoul National University, Gwanak-gu, Seoul, 151-818, Korea
BMC Bioinformatics 2007, 8:8 doi:10.1186/1471-2105-8-8
Published: 10 January 2007Additional files
Additional file 1:
Detailed mathematical descriptions of the least squares, total least squares, and constrained total least squares algorithms, for the multiple experiments case, are provided in this file.
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Additional file 2:
This is a standard zip compressed file. It can be uncompressed using freely available software, such as winzip. In unix, it can be uncompressed using the unzip command. This file includes the MATLAB source files to run all the calculation for the examples in this paper. To run the files, the MATLAB and Optimization toolboxes for MATLAB are required. More details about each file can be found in "readme.txt".
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