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  "Title": "R package for the statistical assessment of cell state\nhierarchies from single-cell RNA-seq data",
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  "Author": "Miguel Julia <migueljuliamolina@gmail.com>, Amalio Telenti\n<atelenti@jcvi.org>, Antonio Rausell\n<antonio.rausell@institutimagine.org>",
  "Maintainer": "Miguel Julia <migueljuliamolina@gmail.com>, Antonio\nRausell<antonio.rausell@institutimagine.org>",
  "Description": "Cell differentiation processes are achieved through a\ncontinuum of hierarchical intermediate cell-states that might\nbe captured by single-cell RNA seq. Existing computational\napproaches for the assessment of cell-state hierarchies from\nsingle-cell data might be formalized under a general workflow\ncomposed of i) a metric to assess cell-to-cell similarities\n(combined or not with a dimensionality reduction step), and ii)\na graph-building algorithm (optionally making use of a\ncells-clustering step). Sincell R package implements a\nmethodological toolbox allowing flexible workflows under such\nframework. Furthermore, Sincell contributes new algorithms to\nprovide cell-state hierarchies with statistical support while\naccounting for stochastic factors in single-cell RNA seq.\nGraphical representations and functional association tests are\nprovided to interpret hierarchies.",
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  "Repository": "https://bioc.r-universe.dev",
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