Predictive Engineering and Optimization of Tryptophan Metabolism in Yeast Through a Combination of Mechanistic and Machine Learning Models

doi 10.1101/858464
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Cold Spring Harbor Laboratory

Related search

A Predictive Machine Learning Approach for Microstructure Optimization and Materials Design

Scientific Reports
Multidisciplinary
2015English

Combination Forecasts of Tourism Demand With Machine Learning Models

Applied Economics Letters
EconomicsEconometrics
2015English

Predictive Models for Diabetes Mellitus Using Machine Learning Techniques

BMC Endocrine Disorders
MedicineEndocrinologyMetabolismDiabetes
2019English

End-To-End Optimization of Source Models for Speech and Audio Coding Using a Machine Learning Framework

2019English

Multithreaded Calculations Usage for Optimization of Machine Learning Models Using Simulated Annealing Algorithm

Mining Journal of Kryvyi Rih National University
2018English

Enhanced Night Vision via a Combination of Poisson Interpolation and Machine Learning

2006English

Correction for Moore Et Al., Robust Predictions of Specialized Metabolism Genes Through Machine Learning

Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
2019English

Anomaly Detection in Engineering Structures Using WSN and Machine Learning

International Journal of Innovative Technology and Exploring Engineering
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
2019English

Extraction of Character Regions Through Machine Learning and Filtering

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy