A tool for expression analysis, de novo chronological ordering, and visualization of single-cell RNA-seq data. The CellTrails algorithm uses a geometric lower-dimensional manifold learning to estimate noise, drop-outs, experimental variance, and redundancy of predictive variables. CellTrails also has functions for branching reconstruction and graphical visualization of expression patterns and branches.
Statistics and probability; RNA-seq
Ellwanger DC, Scheibinger M, Dumont RA, Barr-Gillespie PG, Heller S "Transcriptional Dynamics of Hair-Bundle Morphogenesis Revealed with CellTrails." Cell Rep. 2018 Jun 5;23(10):2901-2914.e13. https://doi.org/10.1016/j.celrep.2018.05.002
PMID: 29874578
PMCID: PMC6089258
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