Additionally, a special setting of the G-RPCCL not only degenerates to RPCL and its Type A variant, but also gives a guidance to choose an appropriate delearning rate for them. Subsequently, we propose a stochastic version of RPCL and its type A variant, respectively, in which the ...
K-means algorithm (Forgy, 1965) and its modified version of K-medoids algorithm (Kaufman and Rousseeuw, 1990) are quite popular partitional-clustering algorithms, where each cluster is represented by either the mean value of the data points in the cluster or the most centrally located data ...
Here, we present DISCERN, a novel deep generative network that precisely reconstructs missing single-cell gene expression using a reference dataset. DISCERN outperforms competing algorithms in expression inference resulting in greatly improved cell clustering, cell type and activity detection, and insights...
Demonstration of an increase of this cell type in patients dying of COVID-19 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 ...
q-ROPFLS, including numeric and linguistic data, has a wide range of applications in handling uncertain information. This article aims to investigate q-ROPFL correlation coefficient based on the proposed information energy and covariance formulas. Moreov
Modifier and TypeMethod and Description static ClusteringPolicy fromString(String name) Creates or finds a ClusteringPolicy from its string representation. static Collection<ClusteringPolicy> values() Gets known ClusteringPolicy values.Methods inherited from ExpandableStringEnum<...
Because of this limit, investigators generally include well-known cell type markers in ADT modal first. Therefore, ADT data is good at identifying common cell types4,10, such as CD4+ and CD8+ T cells, when their marker genes are profiled. However, because of its limited dimensions, ADT ...
We address the estimation of the structure of the covariance matrix and its application to adaptive radar detection of coherent pulse trains in clutter-dom... E Conte,A De Maio,G Ricci - 《Aerospace & Electronic Systems IEEE Transactions on》 被引量: 171发表: 2002年 Matrix comparison, Part ...
The PSO and its variants use a single optimal solution stored in the solution space to reposition the members of the swarm, which can cause them to become stuck in local minima. These shortcomings caused PSO and its variants to obtain solutions with low quality and convergence speed, which ...
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