Robotics & Machine Learning Daily News2024,Issue(MAY.31) :176-177.

Flawed machine-learning confounds coding sequence annotation

Robotics & Machine Learning Daily News2024,Issue(MAY.31) :176-177.

Flawed machine-learning confounds coding sequence annotation

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: “Detecting protein coding genes in genomic sequences is a significant challenge for understanding genome functionality, yet the reliability of bioinformatic too ls for this task remains largely unverified. This is despite some of these tools having been available for several decades, and being widely used for genome and transcriptome annotation. We perform an assessment of nucleotide sequence and a lignment-based de novo protein-coding detection tools. The controls we use exclu de any previous training dataset and include coding exons as a positive set and length-matched intergenic and shuffled sequences as negative sets.

Key words

Bioinformatics/Biotechnology/Biotechno logy - Bioinformatics/Cyborgs/Emerging Technologies/Genetics/Information Tec hnology/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文