Workflow from Scientific Research

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Construction of surprisal components. Surprisal scores undergo singular value decomposition (SVD) over all genes to yield D loading vectors that capture informative axes in the data. We then linearly project the input transcript count matrix to these axes, producing a D -dimensional representation of each cell for downstream analysis
#Workflow#Illustration#Surprisal Component#Singular Value Decomposition#Gene Expression#Dimensionality Reduction
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