Sparse Matrix Representation: Utilizes sparse matrices to represent adjacency matrices, optimizing storage and performance. Linear Algebra Querying: Employs linear algebra for query execution, ...

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In particular, we propose three novel regularization terms (each modeling a set of crucial relationships at different time points), and incorporate these regularizers in a multi-task sparse feature ...

However, CITE-seq data inherit the properties of scRNA-seq data, being noisy, large-dimensional, and highly sparse. Moreover, representations of RNA and surface protein ... To adapt scCTClust on SNARE ...