Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...
A single microarray can provide information on the expression of tens of thousands of genes. The amount of information generated by a microarray-based experiment is sufficiently large that no single ...
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Study finds AI can safely assist with some software annotation tasks
A dystopian future where advanced artificial intelligence (AI) systems replace human decision-making has long been a trope of ...
The goal of most microarray experiments is to survey patterns of gene expression by assaying the expression levels of thousands to tens of thousands of genes in a single assay. Typically, RNA is first ...
The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...
Upstream’s Chemoinformatics Program combines artificial intelligence, advanced computational methods and chemical diversity techniques that will be applied to the its drug scaffolds and compound ...
New data classification feature transforms how enterprises build high-quality training data, delivering up to 80% faster ...
This manuscript makes a valuable contribution to the concept of fragility of meta-analyses via the so-called 'ellipse of insignificance for meta-analyses' (EOIMETA). The strength of evidence is solid, ...
High-throughput technologies have produced vast multi-omics datasets (genomics, transcriptomics, epigenomics, proteomics) from large cancer initiatives such ...
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