首页|Flawed machine-learning confounds coding sequence annotation

Flawed machine-learning confounds coding sequence annotation

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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.

BioinformaticsBiotechnologyBiotechno logy - BioinformaticsCyborgsEmerging TechnologiesGeneticsInformation Tec hnologyMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.31)