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Sincell: an R/Bioconductor package for statistical assessment of cell-state hierarchies from single-cell RNA-seq

Academic Article
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Overview

authors

  • Julia, M.
  • Telenti, Amalio
  • Rausell, A.

publication date

  • October 2015

journal

  • Bioinformatics  Journal

subject areas

  • Algorithms
  • Cell Differentiation
  • Data Interpretation, Statistical
  • Gene Expression Profiling
  • Sequence Analysis, RNA
  • Single-Cell Analysis
  • Software
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Identity

PubMed Central ID

  • PMC4595899

International Standard Serial Number (ISSN)

  • 1367-4803

Digital Object Identifier (DOI)

  • 10.1093/bioinformatics/btv368

PubMed ID

  • 26099264
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Additional Document Info

start page

  • 3377

end page

  • 3379

volume

  • 31

issue

  • 20

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