Evidence map›Paper›PMID 30253747›Full record

ArticleBMC bioinformatics2018

Valection: design optimization for validation and verification studies.

Christopher I Cooper, Delia Yao, Dorota H Sendorek, Takafumi N Yamaguchi, Christine P'ng, Kathleen E Houlahan, Cristian Caloian, Michael Fraser, SMC-DNA Challenge Participants, Kyle Ellrott and 4 more

Abstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Christopher I CooperOntario Institute for Cancer Research, 661 University Avenue, Suite 510, Toronto, Ontario, M5G 0A3, Canada.
Delia YaoOntario Institute for Cancer Research, 661 University Avenue, Suite 510, Toronto, Ontario, M5G 0A3, Canada.
Dorota H SendorekOntario Institute for Cancer Research, 661 University Avenue, Suite 510, Toronto, Ontario, M5G 0A3, Canada.
Takafumi N YamaguchiOntario Institute for Cancer Research, 661 University Avenue, Suite 510, Toronto, Ontario, M5G 0A3, Canada.
Christine P'ngOntario Institute for Cancer Research, 661 University Avenue, Suite 510, Toronto, Ontario, M5G 0A3, Canada.
Kathleen E HoulahanOntario Institute for Cancer Research, 661 University Avenue, Suite 510, Toronto, Ontario, M5G 0A3, Canada.
Cristian CaloianOntario Institute for Cancer Research, 661 University Avenue, Suite 510, Toronto, Ontario, M5G 0A3, Canada.
Michael FraserPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
SMC-DNA Challenge Participants
Kyle EllrottComputational Biology Program, Oregon Health & Science University, Portland, OR, USA.
Adam A MargolinComputational Biology Program, Oregon Health & Science University, Portland, OR, USA.
Robert G BristowDepartment of Medical Biophysics, University of Toronto, Toronto, Canada.
Joshua M StuartDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Paul C BoutrosOntario Institute for Cancer Research, 661 University Avenue, Suite 510, Toronto, Ontario, M5G 0A3, Canada. Paul.Boutros@oicr.on.ca.

Funding

BIGDATA: Mid-Scale DCM: DA: ESCE: Discovering Molecular ProcessesR01CA180778 · NCI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI STUART, JOSHUA MICHAEL · 2013 to 2017
$3.5M
New Integrative Pathway Analysis Methods to Predict Biomedical OutcomesR01GM109031 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI STUART, JOSHUA MICHAEL · 2014 to 2018
$2.9M
Canadian Institutes of Health Research New Investigator AwardMovember Foundation (AU) RS2014-01National Cancer Institute R01CA180778NCI NIH HHS R01 CA180778NIGMS NIH HHS R01 GM109031Terry Fox Research Institute New Investigator Award
6 · The paper itself

Abstract

backgroundPlatform-specific error profiles necessitate confirmatory studies where predictions made on data generated using one technology are additionally verified by processing the same samples on an orthogonal technology. However, verifying all predictions can be costly and redundant, and testing a subset of findings is often used to estimate the true error profile.

resultsTo determine how to create subsets of predictions for validation that maximize accuracy of global error profile inference, we developed Valection, a software program that implements multiple strategies for the selection of verification candidates. We evaluated these selection strategies on one simulated and two experimental datasets.

conclusionsValection is implemented in multiple programming languages, available at: http://labs.oicr.on.ca/boutros-lab/software/valection.

Indexed as

Software ValidationSequence Analysis, DNACandidate-selectionDNA sequencingValidationVerification

Identifiers

PMID30253747
PMCPMC6157051

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.