An Extended Constrained Total Least-Squares Method for the Identification of Genetic Networks from Noisy Measurements-Reference-Cited by-同舟云学术

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An Extended Constrained Total Least-Squares Method for the Identification of Genetic Networks from Noisy Measurements

Published:2015-10-16 Issue:43 Volume:54 Page:10583-10592
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Guner Ugur¹,Jang Hong²,Realff Matthew J.¹,Lee Jay H.²

Affiliation:

1. School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

2. Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea

Funder

Ministry of Science, ICT and Future Planning

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.5b01418

Reference32 articles.

1. Systems Biology: A Brief Overview

2. Computational systems biology

3. Network biology: understanding the cell's functional organization

4. Modeling and Simulation of Genetic Regulatory Systems: A Literature Review

5. Reverse engineering gene networks using singular value decomposition and robust regression

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