netSmooth
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netSmooth: A Network smoothing based method for Single Cell RNA-seq imputation
HI, I am trying to use monocle on the sample data provided by "https://cole-trapnell-lab.github.io/monocle3/docs/clustering/". However, at "cds
I am access the links given in you paper about the three datasets(Hematopoiesis,Embryonic cells,Glioblastoma), for the first dataset, I can't find the samplelabes, and the another two datasets I can't...
The possible usage of the DelayedArray data structure and the smoothing in chunks provides the possibility to reduce the memory requirements of the package. However, the calculation of the diffusion/smoothing...
Currently, netSmooth uses PCA or tSNE for dimensionality reduction, clustering, and robustness. We should also implement UMAP for this. - find the most suitable umap library for R - add...
to make netSmooth work with large, disk-based matrices (the `DelayedArray`, `HDF5Array` class, probably). - make sure netSmooth uses the same amount of memory regardless of the size of the _data_...