In the core–periphery pattern, we can observe 4 blocks in the class blocked adjacency matrix, namely the core, core–periphery, periphery–core and periphery. Since nodes that are position equivalent would exhibit similar behaviors and outcomes, the partitioning of core nodes and periphery nodes ...
Due to the relatively low sequencing depth and limited coverage of single-cell RNA-seq data, the probabilities of many AS events cannot be reliably estimated for all the single cells in a dataset. Therefore, the AS probability matrix greatly suffers from frequent missing values (marked as NA)....
a method in which the correlation patterns of gene co-expression are integrated across multiple data-sets, by first deriving a per-data-set correlation matrix, and then combing these to generate a merged correlation matrix based on the median correlations and p-values across different data-sets....
Next, the raw similarity matrix is used to generate a weighted adjacency matrix for a weighted, directed cell graph G, in which a heavy edge from cell i to cell j indicates strong attraction of the former to the latter. Then, the balanced similarity graph G is partitioned into metacell ...