Papers: 10.1093/gigascience/giz105
https://doi.org/10.1093/gigascience/giz105
rCASC: reproducible classification analysis of single-cell sequencing data
Cited by: 24
Author(s): Luca Alessandrì, Francesca Cordero, Marco Beccuti, Maddalena Arigoni, Martina Olivero, Greta Romano, Sergio Rabellino, Nicola Licheri, Gennaro De Libero, Luigia Pace, Raffaele Calogero
Published: about 7 years ago
Software Mentions 5
bioconductor: SIMLR
Single-cell Interpretation via Multi-kernel LeaRning (SIMLR)Papers that mentioned: 40
Very Likely Science (65)
Very Likely Science (100)
Very Likely Science (65)
Very Likely Science (100)
pypi: SIMLR
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learningPapers that mentioned: 40
Very Likely Science (75)