rCASC: reproducible classification analysis of single-cell sequencing data

BACKGROUND: Single-cell RNA sequencing is essential for investigating cellular heterogeneity and highlighting cell subpopulation-specific signatures. Single-cell sequencing applications have spread from conventional RNA sequencing to epigenomics, e.g., ATAC-seq. Many related algorithms and tools hav...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Gigascience
Päätekijät: Alessandrì, Luca, Cordero, Francesca, Beccuti, Marco, Arigoni, Maddalena, Olivero, Martina, Romano, Greta, Rabellino, Sergio, Licheri, Nicola, De Libero, Gennaro, Pace, Luigia, Calogero, Raffaele A
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Oxford University Press 2019
Aiheet:
Technical Note
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6732171/
https://ncbi.nlm.nih.gov/pubmed/31494672
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giz105
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