Onrec

How Data Annotation Powers AI Behind the Scenes

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...
EurekAlert!

MultiKano: an automatic cell type annotation tool for single-cell multi-omics data based on Kolmogorov-Arnold network and data augmentation

MultiKano is the first automatic cell type annotation method tailored to single-cell multi-omics data. MultiKano introduces a novel data augmentation strategy based on paired scRNA-seq and scATAC-seq ...
Nature

Large language models improve annotation of prokaryotic viral proteins

Viruses of microorganisms, hereafter ‘viruses’, are abundant in the environment and have wide-ranging impacts on microbial communities. Much of what we know about viral diversity, ecology and function ...
Nature

Integrating taxonomic signals from MAGs and contigs improves read annotation and taxonomic profiling of metagenomes

Metagenomic analysis typically includes read-based taxonomic profiling, assembly, and binning of metagenome-assembled genomes (MAGs). Here we integrate these steps in Read Annotation Tool (RAT), which ...
InfoWorld

Improving annotation quality with machine learning

Data science and machine learning teams face a hidden productivity killer: annotation errors. Recent research from Apple analyzing production machine learning (ML ...