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Papers: 10.1371/journal.pone.0205499

https://doi.org/10.1371/journal.pone.0205499

CaSTLe – Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments

Cited by: 84
Author(s): Yuval Lieberman, Lior Rokach, Tal Shay
Published: almost 8 years ago

Software Mentions 4

bioconductor: ArrayExpress
Access the ArrayExpress Collection at EMBL-EBI Biostudies and build Bioconductor data structures: ExpressionSet, AffyBatch, NChannelSet
Papers that mentioned: 1,962
Very Likely Science (83)
bioconductor: MetaNeighbor
Single cell replicability analysis
Papers that mentioned: 11
Very Likely Science (100)
bioconductor: scmap
A tool for unsupervised projection of single cell RNA-seq data
Papers that mentioned: 34
Very Likely Science (100)
pypi: scmap
Assigns rgb colors to points on sphere.
Papers that mentioned: 34
Very Likely Science (65)