The interdisciplinary field of spatial biology continues to connect omics research with the goal of understanding the spatial distribution of biomolecules that influence biological processes and ...
Nonnegative matrix factorization (NMF) is widely used to analyze high-dimensional count data because, in contrast to real-valued alternatives such as factor analysis, it produces an interpretable ...
Spatial transcriptomics are a collection of genomic technologies that have enabled transcriptomic profiling on tissues with spatial localization information. Analyzing spatial transcriptomic data is ...
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