Evidence map›Paper›PMID 25314947›Full record

ArticleGenome biology2014

Toward better benchmarking: challenge-based methods assessment in cancer genomics.

Paul C Boutros, Adam A Margolin, Joshua M Stuart, Andrea Califano, Gustavo Stolovitzky

Abstract read
In one paragraph

Article in Genome biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. geck: trio-based comparative benchmarking of variant calls.Bioinformatics (Oxford, England) · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  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

5 authors.

Paul C Boutros
Adam A Margolin
Joshua M Stuart
Andrea Califano
Gustavo Stolovitzky

Funding

Training SubprojectU54HG007990 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, PATTERSON, DAVID · 2014 to 2018
$14.8M
UCSC-Buck Inst. Genome Data Analysis Center for TCGA Research Network (GDAC)U24CA143858 · NCI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI BENZ, CHRISTOPHER, HAUSSLER, DAVID H · 2009 to 2016
$8.9M
BIGDATA: Mid-Scale DCM: DA: ESCE: Discovering Molecular ProcessesR01CA180778 · NCI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI STUART, JOSHUA MICHAEL · 2013 to 2017
$3.5M
CIHRNCI NIH HHS R01 CA180778NCI NIH HHS U24 CA143858NCI NIH HHS U24-CA143858NHGRI NIH HHS U54 HG007990
6 · The paper itself

Abstract

Rapid technological development has created an urgent need for improved evaluation of algorithms for the analysis of cancer genomics data. We outline how challenge-based assessment may help fill this gap by leveraging crowd-sourcing to distribute effort and reduce bias.

Indexed as

BenchmarkingDNA Mutational AnalysisGenetic Association StudiesGenome, HumanGenomicsHumansNeoplasmsReference Standards

Identifiers

PMID25314947
PMCPMC4318527

What OpenQuestion holds

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LicenceCC BY
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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.