article Open AccessTop 1% cited
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
BMC Genomics · 2018 · Vol. 19(1) · pp. 477–477
Kelly Street✉(University of California, Berkeley)Davide Risso(Cornell University)Russell B. Fletcher(University of California, Berkeley)Diya Das(University of California, Berkeley)John Ngai(Innovative Genomics Institute)Nir Yosef(University of California, Berkeley)Elizabeth Purdom(University of California, Berkeley)Sandrine Dudoit(Berkeley College)
Abstract
Slingshot is a uniquely robust and flexible tool which combines the highly stable techniques necessary for noisy single-cell data with the ability to identify multiple trajectories. Accurate lineage inference is a critical step in the identification of dynamic temporal gene expression.
Single-cell and spatial transcriptomicsGene Regulatory Network AnalysisGene expression and cancer classificationInferenceComputational biologyBiologyComputer scienceDNA microarrayProgenitor cellTranscriptomeStatistical inferenceBioinformaticsStem cell
MeSH terms
HumansSoftwareCluster AnalysisCell LineageGene Expression ProfilingMyoblasts, SkeletalSingle-Cell Analysis
Funding
- California Institute for Regenerative Medicine
- California Institute of Regenerative Medicine
- Thomas and Stacey Siebel Foundation
- National Institute on Aging
- National Institute of Mental Health
- National Human Genome Research Institute
- National Institute on Deafness and Other Communication Disorders
- National Center for Research Resources
Citations
3,215
FWCI
66.82
field-weighted impact
References
37
Percentile
100%
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Citations per year
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