Evidence map›Paper›PMID 19956416›Full record

ArticleAdvances in bioinformatics2009

FlowFP: A Bioconductor Package for Fingerprinting Flow Cytometric Data.

Wade T Rogers, Herbert A Holyst

Abstract read
In one paragraph

Article in Advances in bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Data-Driven Flow Cytometry Analysis.Methods in molecular biology (Clifton, N.J.) · 2019
    Review
  11. Article
  12. Article
  13. A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2016
    Article
  14. Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2015
    Article
  15. Review
  16. Article
  17. Article
  18. GenePattern flow cytometry suite.Source code for biology and medicine · 2013
    Article
  19. Review
  20. Article
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

2 authors.

Wade T RogersDepartment of Pathology and Laboratory Medicine, School of Medicine, University of Pennsylvania, 207 John Morgan Bldg., Philadelphia, PA 19104-6082, USA.
Herbert A Holyst

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new software package called flowFP for the analysis of flow cytometry data is introduced. The package, which is tightly integrated with other Bioconductor software for analysis of flow cytometry, provides tools to transform raw flow cytometry data into a form suitable for direct input into conventional statistical analysis and empirical modeling software tools. The approach of flowFP is to generate a description of the multivariate probability distribution function of flow cytometry data in the form of a "fingerprint." As such, it is independent of a presumptive functional form for the distribution, in contrast with model-based methods such as Gaussian Mixture Modeling. FlowFP is computationally efficient and able to handle extremely large flow cytometry data sets of arbitrary dimensionality. Algorithms and software implementation of the package are described. Use of the software is exemplified with applications to data quality control and to the automated classification of Acute Myeloid Leukemia.

Identifiers

PMID19956416
PMCPMC2777013

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Registered trials

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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.