Search Results for author:
Found 2 papers, 2 papers with code
Quiver Laplacians and Feature Selection
The challenge of selecting the most relevant features of a given dataset arises ubiquitously in data analysis and dimensionality reduction.
Multiscale methods for signal selection in single-cell data
Analysis of single-cell transcriptomics often relies on clustering cells and then performing differential gene expression (DGE) to identify genes that vary between these clusters.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
