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Inter-generational interaction is a carrier of Chinese traditional culture, and it can exert important influence on the depressive symptoms on Chinese older adults. The study aims to analyze gender differences in the association between inter-generationa
Increasingly, scRNA-Seq studies explore cell populations across different samples and the effect of sample heterogeneity on organism’s phenotype. However, relatively few bioinformatic methods have been developed which adequately address the variation be
First, where the order of years was backwards on the RHM form, we assumed this occurred because of a genuine error and reversed the order accordingly. Second, where respondents’ age indicated that a reported address was inhabited before their birth, we adjusted the entries as follows: If the...
Cell deconvolution is the estimation of cell type fractions and cell type-specific gene expression from mixed data. An unmet challenge in cell deconvolution is the scarcity of realistic training data and the domain shift often observed in synthetic train
In each community, the study team included a respected local health facility worker to further safeguard against any form of exploitation of study participants in the community by study team members or by the participant community. Patient and public involvement The protocol was developed with input...
Hazard Model (CPHM) is a semi-parametric method used in survival analysis. It defines the hazard function'h(t)'as the sum of two components: a baseline hazard'h_0(t)'that depends solely on time 't,' and a component related to covariates. The mathematical form of the CPHM is as ...
In their simplest form, cross-lagged panel models are made up of two constructs that are measured at two or more time points (Berry & Willoughby, Citation2017; Selig & Little, Citation2012). These time points are ideally spaced apart such that a temporal sequence of cause and effect can be...
Consequently, to mitigate the impact of image misclassification and enhance the system’s accuracy and robustness, a pre-training model in the form of a Space-Time Fusion Attention Network is utilized to train a multi-layer encoding and decoding feature fusion network. During the training process,...
In sum, real biomedical data frequently takes the form of multivariate normal distributions that are not particularly well separated (Fig. 2, right column), and it is unclear what this means for the suitability of cluster analyses. Fig. 2 This figure shows three datasets in the top row, ...