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Found 3 papers, 2 papers with code
Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data
To overcome these limitations, we present a spectral manifold alignment and inference (SMAI) framework, which enables principled and interpretable alignability testing and structure-preserving integration of single-cell data with the same type of features.
A Spectral Method for Assessing and Combining Multiple Data Visualizations
Then it leverages the eigenscores to obtain a consensus visualization, which has much improved { quality over the individual visualizations in capturing the underlying true data structure.}
ImageNet-trained deep neural network exhibits illusion-like response to the Scintillating Grid
We observed a significant deviation from the expected monotonic relation between VGG-19 representational dissimilarity and dot whiteness in the Scintillating Grid.
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