This repo contains PyTorch implementation of the BucSFR. BucSFR is a method that learns fine-grained representations form coarsely labeled datasets without any supervision at the fine-grained level.

Abstract: De novo clustering is a popular technique to perform taxonomic profiling of a microbial community by grouping 16S rRNA amplicon reads into operational taxonomic units (OTUs). In this work, ...

Astronomers from Cardiff University, UK, have employed the Combined Array for Research in Millimeter-wave Astronomy (CARMA) ...

Abendano, the team has built a sample of molecular clouds in this galaxy by analyzing the data from the Combined Array for ...

EzAAI is a suite of workflows for improved AAI calculation performance along with the novel module that provides hierarchical clustering analysis and dendrogram representation.

Crunchyroll Manga is starting 2026 strong with a fresh wave of new series and chapters, giving fans even more to read as the ...

Abstract: The problem of estimating appropriate number of clusters has been a main and difficult issue in clustering researches. There are different methods for this in hierarchical clustering; a ...

The rise of antibiotic resistance has renewed interest in bacteriophages as therapeutic alternatives. However, co-evolution of phage and bacteria will naturally give rise to phage-resistant pathogens, ...

With antimicrobial resistance causing over 5 million deaths annually, rapid outbreak detection is critical. A German lab ...