Artificial Neural Network Modeling to Predict the Non-Linearity in Reaction Conditions of Cholesterol Oxidase from <i>Streptomyces olivaceus</i> <i>MTCC</i> 6820

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ISSN Print: 2327-5081
ISSN Online: 2327-509X
www.scirp.org/journal/jbm
E-mail: jbm@scirp.org

"Artificial Neural Network Modeling to Predict the Non-Linearity in Reaction Conditions of Cholesterol Oxidase from Streptomyces olivaceus MTCC 6820"
written by Shraddha Sahu, Shailendra Singh Shera, Rathindra Mohan Banik,
published by Journal of Biosciences and Medicines, Vol.7 No.4, 2019

has been cited by the following article(s):

[1]	Production and statistical optimization of cholesterol-oxidase generated by Streptomyces sp. AN strain
	Journal of Genetic …, 2022

[2]	Modeling the effect of non‐linear process parameters on the prediction of hydrogen production by steam reforming of bio‐oil and glycerol using artificial neural …
	2020

[3]	Enhanced Reusability of Horseradish Peroxidase Immobilized onto Graphene Oxide/Magnetic Chitosan Beads for Cost Effective Cholesterol Oxidase Assay
	2019

[4]	Optimization of Process Parameters for Cholesterol Oxidase Production by Streptomyces Olivaceus MTCC 6820
	2019

[5]	Anticipating faults by predicting non-linearity of environment variables with neural networks: a case study in semiconductor manufacturing

[1]	Production and statistical optimization of cholesterol-oxidase generated by Streptomyces sp. AN strain Journal of Genetic Engineering and Biotechnology, 2022 DOI:10.1186/s43141-022-00433-1

[2]	Production and statistical optimization of cholesterol-oxidase generated by Streptomyces sp. AN strain Journal of Genetic Engineering and Biotechnology, 2022 DOI:10.1186/s43141-022-00433-1

[3]	Enhanced Reusability of Horseradish Peroxidase Immobilized onto Graphene Oxide/Magnetic Chitosan Beads for Cost Effective Cholesterol Oxidase Assay The Open Biotechnology Journal, 2019 DOI:10.2174/1874070701913010093

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