Robotics & Machine Learning Daily News2024,Issue(Nov.20) :166-167.

Machine learning models reveal environmental and genetic factors associated with the plant circadian clock

机器学习模型揭示了与植物昼夜节律相关的环境和遗传因素

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :166-167.

Machine learning models reveal environmental and genetic factors associated with the plant circadian clock

机器学习模型揭示了与植物昼夜节律相关的环境和遗传因素

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-根据新闻报道的预印摘要,我们的记者获得了新闻报道的基本信息以下报价来源于BI orxiv.org:“植物的生物钟有助于它们的生存和适应。”然而,了解转录组水平上的时钟功能及其对环境的响应需要在高分辨率时间过程中进行分析。生成这些数据集是劳动密集型的,昂贵,在大多数情况下,在严格控制的实验室条件下进行。

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:“The circadian clock of plants contributes to their survival and fitness.“However, understanding clock function at the transcriptome level and its respon se to the environmentrequires assaying across high resolution time-course exper iments. Generating these datasets is labourintensive,costly and, in most cases , performed under tightly controlled laboratory conditions.

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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