Browse the search results

A certain type of primary cancer may cause another second primary cancer which would be of clinical importance to make a personalized screening plan for certain primary cancer patients.

Computational methods were used to develop accurate manual scorecards for early detection of participants at risk of type 2 diabetes based on the UK Biobank database.

A machine-learning approach is used to predict 1.35 million interactions for 85% of the human proteome.

Integration of language model and geometric deep learning enables accurate and efficient genome-scale annotation of comprehensive protein-ligand binding sites.

Tronko provides a scalable solution for accurate taxonomic assignment for large-scale metabarcoding datasets by overcoming the speed and memory limitations of previous phylogenetic placement methods.

A framework has been devised that enables global participation in the curation of publications on any topic involving two or more living organisms, ranging from microscopic to larger sizes, in their natural or artificial environments or ecosystems.

High degree of clonal persistence and excess of inter-individual convergence are observed in human memory B cell repertoires, along with signatures of both negative and positive selection in most abundant clonal lineages.

The incorporation of as yet underused local epidemiological data on α-thalassaemia in Southeast Asia within a geostatistical model suggests that the burden of severe α-thalassaemia forms may have been underestimated.

A newly developed computational framework provides an overview of the extent, diversity, and relevance of the genes of unknown function in genomes and metagenomes.

The ability to accurately predict a protein's structure gives us an entirely new way to annotate the human genome.