Package: scCAN 1.0.5

scCAN: Single-Cell Clustering using Autoencoder and Network Fusion

A single-cell Clustering method using 'Autoencoder' and Network fusion ('scCAN') Bang Tran (2022) <doi:10.1038/s41598-022-14218-6> for segregating the cells from the high-dimensional 'scRNA-Seq' data. The software automatically determines the optimal number of clusters and then partitions the cells in a way such that the results are robust to noise and dropouts. 'scCAN' is fast and it supports Windows, Linux, and Mac OS.

Authors:Bang Tran [aut, cre], Duc Tran [aut], Hung Nguyen [aut], Tin Nguyen [fnd]

scCAN_1.0.5.tar.gz
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scCAN_1.0.5.tgz(r-4.4-any)scCAN_1.0.5.tgz(r-4.3-any)
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scCAN.pdf |scCAN.html✨
scCAN/json (API)

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5 exports 0.09 score 46 dependencies 13 scripts 779 downloads

Last updated 3 months agofrom:cc0ee4fc5d. Checks:OK: 7. Indexed: yes.

Exports:adjustedRandIndexcalculate_celltype_probcurate_markersget_cluster_markersscCAN

Dependencies:BHbitbit64callrcliclustercodetoolscorocpp11descdoParalleldqrngellipsisFNNforeachglueigraphirlbaiteratorsjsonlitelatticelifecyclemagrittrMatrixmatrixStatspkgconfigprocessxpspurrrR6RcppRcppAnnoyRcppArmadilloRcppEigenRcppParallelRcppProgressRhpcBLASctlrlangRSpectrasafetensorsscDHAsitmotorchuwotvctrswithr