A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.

Design A cross-sectional behavioural survey was conducted in Portugal among MSM, using a community-based participatory research approach. Hierarchical cluster analysis was used to identify patterns ...

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional ...

Common symptom clusters in kidney failure included gastrointestinal problems, neuromuscular symptoms, and sexual concerns, ...

NSF NOIRLab rings in the New Year with a glittering galaxyscape captured with the Department of Energy-fabricated Dark Energy ...

NSF NOIRLab has begun the New Year by unveiling a remarkable deep-space image of the Antlia Cluster, including hundreds of ...

Back in the old days—the really old days—the task of designing materials was laborious. Investigators, over the course of ...

Abstract: Sequential data clustering plays an important role in many applications, such as motion recognition, video segmentation, gene sequence analysis, and so on. The key idea is to learn a locally ...

School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, P. R. China ...

Investigating the interplay of genetics, brain maturation, and mental health, this study reveals insights into adolescent ...