Robotics & Machine Learning Daily News2024,Issue(Dec.31) :164-165.

A hybrid machine learning model for predicting gene expression from epigenetics across fungal species

Robotics & Machine Learning Daily News2024,Issue(Dec.31) :164-165.

A hybrid machine learning model for predicting gene expression from epigenetics across fungal species

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from bi orxiv.org:“Understanding and controlling gene expression in organisms is essential for opt imizing biological processes,whether in service of bioeconomic processes, human health, or environmental regulation. Epigeneticmodifications play a significan t role in regulating gene expression by altering chromatin structure, DNAaccess ibility and protein binding. While a significant amount is known about the combi natorial effects ofepigenetics on gene expression, our understanding of the deg ree to which the orchestration of these mechanismsis conserved in gene expressi on regulation across species, particularly for non-model organisms,remains limi ted.

Key words

Cyborgs/Emerging Technologies/Genetics/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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