Litcius/Paper detail

Slingshot: Cell lineage and pseudotime inference for single-cell transcriptomics

Kelly Street, Davide Risso, Russell B. Fletcher, Diya Das, John Ngai, Nir Yosef, Elizabeth Purdom, Sandrine Dudoit

2017bioRxiv (Cold Spring Harbor Laboratory)292 citationsDOIOpen Access PDF

Abstract

Abstract Single-cell transcriptomics allows researchers to investigate complex communities of heterogeneous cells. These methods can be applied to stem cells and their descendants in order to chart the progression from multipotent progenitors to fully differentiated cells. While a number of statistical and computational methods have been proposed for analyzing cell lineages, the problem of accurately characterizing multiple branching lineages remains difficult to solve. Here, we introduce a novel method, Slingshot, for inferring multiple developmental lineages from single-cell gene expression data. Slingshot is a uniquely robust and flexible tool for inferring developmental lineages and ordering cells to reflect continuous, branching processes.

Topics & Concepts

InferenceLineage (genetic)Progenitor cellComputational biologyComputer scienceBiologyTranscriptomeStatistical inferenceBranching (polymer chemistry)CellStem cellGeneCell biologyArtificial intelligenceGene expressionGeneticsChemistryMathematicsOrganic chemistryStatisticsSingle-cell and spatial transcriptomicsGene expression and cancer classificationCancer Genomics and Diagnostics