However, it remains unclear how the clustering coefficient should be measured in a correlation-based network, which is among major representations of brain networks. In the present article, we propose clustering coefficients tailored to correlation matrices. The key idea is to use three-way partial ...
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They compared the smoothness of the distribution curve between the clustering and k-clustering coefficients. They concluded that the k-clustering coefficient could effectively distinguish clustering degrees in street networks. View article Link prediction techniques, applications, and performance: A survey ...
b Coefficients of least squares fit to the median deviation value with respect to the number of cell types. c Median deviation values of each clustering algorithm on datasets with different number of cells (ranging from 50 to 250) in each cell type. Results are split by the number of cell...
(i.e., scSeqComm, scMLnet, NicheNet, CellPhoneDB, CellChat, CellCall, CellTalker, NICHES, and iTALK) on the marker genes expression matrix and the defined cell type assigned after cell clustering of human skin cells. Firstly, we calculate the Jaccard coefficients of ligand-receptor pairs to ...
Higher order clustering coefficients C(x) are introduced for random networks, The coefficients express probabilities that the shortest distance between any two nearest neighbours of a certain vertex i equals x, when one neglects all paths crossing the node i. Using C(x) we found that in the ...
Coefficients of logistic regression in the training set of CD4 Memory, CD4 Naíve and Treg using integrated RNA and ADT information as predictors. The size of each dot on the plot corresponds to the absolute value of its respective coefficient, while the color of the dot indicates the sign (...
the large proportion of censored samples, the feature space was scaled using the regression coefficients fitted using a proxy dependent variable, martingale residuals, instead of follow-up time. Two clusters were identified and evaluated using cross validation. The Kaplan Meier (KM) curves between ...
For examp le, the algorithms to compute the clustering and transitivity coefficient depend on that coefficient but n ot on the size of the graph. Since many large social networks have small clustering and transitivity coe fficient, our algorithms use space independent of the size of the input ...