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, ...

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

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 ...

This important study provides a detailed analysis of the transcriptional landscape of the mouse hippocampus in the context of various physiological states. The main conclusions have solid support: ...

K., & Seifried, J. Fostering prospective teachers' explaining skills during university education - Evaluation of a training module. DOI: 10.1007/s10734-020-00601-7 This thesis designs an interactive ...