The demo program code is too long to present in its entirety in this article, so I focused on the GACUC algorithm so you’ll be able to modify the demo code to meet your own needs. The complete source code for the demo program is available at msdn.com/magazine/msdnmag0513....
Evaluate different types of clusteringCompleted 100 XP 5 minutes Training a clustering modelThere are multiple algorithms you can use for clustering. One of the most commonly used algorithms is K-Means clustering that, in its simplest form, consists of the following steps:...
Next, we investigated the mechanism responsible for KIFC1 accumulation after DNA damage. The results showed that etoposide markedly delayed KIFC1 protein degradation (Fig.4a) without altering its transcription (Fig.4b). In addition, both etoposide and cisplatin decreased KIFC1 ubiquitination (Fig.4c)...
In contrast, cellodar uses a single 2.6 GHz Intel Core i7 to first learn its representations with ordinary least squares, and then cluster them with k-means [61], with 1,000 as the maximum iterations, and its k centroids initialized by k++means [62]. On a Tesla V100 GPU, MiniLM and...
points to a potential therapeutic intervention with the drug Fevipiprant, which blocks CD8+Tc2 cell activation and its pro-fibrotic effects by inhibiting prostaglandin D2 signaling [63]. Functional analysis of these cells has to demonstrate whether these cells are an early marker of later death ...
A Clustering-Oriented Closeness Measure Based on Neighborhood Chain and Its Application in the Clustering Ensemble Framework Based on the Fusion of Differe... A Clustering-Oriented Closeness Measure Based on Neighborhood Chain and Its Application in the Clustering Ensemble Framework Based on the Fusion ...
The aster grows and transforms into a bipolar spindle5. The physiological relevance of chromosome clustering in human oocytes and its underlying mechanism are unknown. Chromosomes in starfish and Xenopus oocytes are also transported before spindle assembly. The nuclei of these oocytes are over two ...
We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up Reseting focus...
After unsupervised clustering, cell-type marker genes are usually leveraged to annotate scRNA-seq data into predefined or de novo cell types. The success of such manual interpretations requires purified clusters with different marker genes highly expressed and concentrated only in some specific clusters....
Single-cell and single-nucleus RNA-sequencing (sxRNA-seq) is increasingly being used to characterise the transcriptomic state of cell types at homeostasis, during development and in disease. However, this is a challenging task, as biological effects can be masked by technical variation. Here, we...