CellTrails is an unsupervised algorithm for the de novo chronological ordering, visualization and analysis of singlecell expression data. CellTrails makes use of a geometrically motivated concept of lowerdimensional manifold learning, which exhibits a multitude of virtues that counteract intrinsic noise of single cell data caused by dropouts, technical variance, and redundancy of predictive variables. CellTrails enables the reconstruction of branching trajectories and provides an intuitive graphical representation of expression patterns along all branches simultaneously. It allows the user to define and infer the expression dynamics of individual and multiple pathways towards distinct phenotypes.
Package details 


Author  Daniel Ellwanger [aut, cre, cph] 
Bioconductor views  Clustering DataRepresentation DifferentialExpression DimensionReduction GeneExpression ImmunoOncology Sequencing SingleCell Software TimeCourse 
Maintainer  Daniel Ellwanger <dc.ellwanger.dev@gmail.com> 
License  Artistic2.0 
Version  1.8.0 
Package repository  View on Bioconductor 
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