ABSTRACT Objective: to describe the most important tools of ATLAS.ti Software and to associate them with the procedures of Thematic Content Analysis. Method: It is a theoretical reflection of the ...

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Learning the gene coexpression pattern is a central challenge for high-dimensional gene expression analysis. Recently, sparse singular value decomposition (SVD) has been used to achieve this goal.

In addition, this study included data from a targeted group of participants (those who declined further contact after referral) whose lack of contact with the service limits the power of quantitative ...

Contrastive learning has been widely used in graph representation learning, which extracts node or graph representations by contrasting positive and negative node pairs. It requires node ...