Evidence map›Paper›PMID 36394263›Full record

ArticleBioinformatics (Oxford, England)2023

scFates: a scalable python package for advanced pseudotime and bifurcation analysis from single-cell data.

Louis Faure, Ruslan Soldatov, Peter V Kharchenko, Igor Adameyko

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Intrinsic regulation of intestinal stem cell fate and homeostasis by Tet.bioRxiv : the preprint server for biology · 2026
    Article
  18. Article
  19. Article
  20. Developmental determinants of male bias in medulloblastoma.bioRxiv : the preprint server for biology · 2026
    Article

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Louis FaureDepartment of Neuroimmunology, Center for Brain Research, Medical University Vienna, 1090 Vienna, Austria.ORCID 0000-0003-4621-586X
Ruslan SoldatovDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Peter V KharchenkoDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Igor AdameykoDepartment of Neuroimmunology, Center for Brain Research, Medical University Vienna, 1090 Vienna, Austria.ORCID 0000-0001-5471-0356

Funding

Austrian Science Fund FWF DOC 33
6 · The paper itself

Abstract

summaryscFates provides an extensive toolset for the analysis of dynamic trajectories comprising tree learning, feature association testing, branch differential expression and with a focus on cell biasing and fate splits at the level of bifurcations. It is meant to be fully integrated into the scanpy ecosystem for seamless analysis of trajectories from single-cell data of various modalities (e.g. RNA and ATAC). AVAILABILITY AND IMPLEMENTATION: scFates is released as open-source software under the BSD 3-Clause 'New' License and is available from the Python Package Index at https://pypi.org/project/scFates/. The source code is available on GitHub at https://github.com/LouisFaure/scFates/. Code reproduction and tutorials on published datasets are available on GitHub at https://github.com/LouisFaure/scFates_notebooks. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

EcosystemSoftware

Identifiers

PMID36394263
PMCPMC9805561

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.