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Found 4 papers, 3 papers with code
PCA for Point Processes
By treating point process realizations as random measures, we adopt a functional analysis perspective and propose a form of functional Principal Component Analysis (fPCA) for point processes.
Kernel-Based Testing for Single-Cell Differential Analysis
Single-cell technologies offer insights into molecular feature distributions, but comparing them poses challenges.
A Probabilistic Graph Coupling View of Dimension Reduction
Most popular dimension reduction (DR) methods like t-SNE and UMAP are based on minimizing a cost between input and latent pairwise similarities.
Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
First, the expression dynamics (gene to gene variability) can be quantified more accurately, thanks to the measurement of lowly-expressed genes.
Methodology
