Robotics & Machine Learning Daily News2024,Issue(Dec.2) :127-127.

Technical University Munich (TUM) Reports Findings in Machine Learning (AAclust: k-optimized clustering for selecting redundancyreduced sets of amino acid scal es)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :127-127.

Technical University Munich (TUM) Reports Findings in Machine Learning (AAclust: k-optimized clustering for selecting redundancyreduced sets of amino acid scal es)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Freising, Germany, by Ne wsRx journalists, research stated, “Amino acid scales are crucialfor sequence-b ased protein prediction tasks, yet no gold standard scale set or simple scale se lectionmethods exist. We developed AAclust, a wrapper for clustering models tha t require a pre-defined numberof clusters , such as -means.”

Key words

Freising/Germany/Europe/Amino Acids/Cyborgs/Emerging Technologies/Machine Learning/Peptides/Proteins

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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