This repository contains R tools and workflows for spatial analysis of cell-types using single-cell spatial transcriptomic Xenium data. To know more about Xenium technology, check out the Xenium ...

Disseminated intravascular coagulation (DIC) is a critical condition encountered in the intensive care unit (ICU), characterized by multiple etiologies and variable outcomes. Distinguishing between ...

People with high levels of psychopathy cause damage to interpersonal relationships, being also found in the general community. Therefore, it is necessary to explore how this trait manifests in the ...

Globular Cluster is known for making comfort mods for VR headsets, and its version for Apple Vision Pro brings a variety of fits and customization to the controversially heavy headset. I'll get this ...

Abstract: Hierarchical density based spatial clustering is a state-of-the-art clustering algorithm that is widely used by the research community for the analysis of spatial data. This popularity is in ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Amazon Elastic Kubernetes Service (EKS) is a managed Kubernetes service from AWS that allows ...

Personalized recurrence risk stratification in surgically resected non-small cell lung cancer: Multicenter deep learning model development and validation.

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

Abstract: The k-means model and algorithms to optimize it are ubiquitous in cluster analysis. It is impossible to overstate the popularity of this method, which is by far the most heavily cited and ...

Ranking well on Google isn’t just about targeting keywords. It’s about building topic authority. One of the best ways to do this is by organizing your content into topic clusters. This strategy helps ...