Identifying effective evolutionary strategies-based protocol for uncovering reaction kinetic parameters under the effect of measurement noises

Altogether, we identify a protocol for predicting reaction parameters under marked measurement noise, as a step towards predictive modeling for systems biology endeavors.

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Publication Details

Journal
BMC Biology
Published
2024-10-14
DOI
https://doi.org/10.1186/s12915-024-02019-4
Citations
2
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.47

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article

Identifying effective evolutionary strategies-based protocol for uncovering reaction kinetic parameters under the effect of measurement noises

Hock Chuan Yeo, Kumar Selvarajoo, Varsheni Vijay
2 citations
BMC Biology
Gene Regulatory Network Analysis
0.47
article

Identifying effective evolutionary strategies-based protocol for uncovering reaction kinetic parameters under the effect of measurement noises

Hock Chuan Yeo, Kumar Selvarajoo, Varsheni Vijay
article en
2 citations

Abstract

Altogether, we identify a protocol for predicting reaction parameters under marked measurement noise, as a step towards predictive modeling for systems biology endeavors.

BMC BiologyVol. 22(1)
Agency for Science, Technology and Research (SG), National University of Singapore (SG), Nanyang Technological University (SG), Bioinformatics Institute (SG)
Agency for Science, Technology and Research
Openalex Percentile: Top 35%
Gene Regulatory Network Analysis
0.47
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