Evidence map›Paper›PMID 24761189›Full record

ArticleStatistics and its interface2012

Protein identification problem from a Bayesian point of view.

Yong Fuga Li, Randy J Arnold, Predrag Radivojac, Haixu Tang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistics and its interface, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. ConstrainedResearch in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- ) · 2018
    Article
  3. Article
  4. Review
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.

Yong Fuga LiSchool of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA.
Randy J ArnoldDepartment of Chemistry, Indiana University, Bloomington, IN 47406, USA.
Predrag RadivojacSchool of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA.
Haixu TangSchool of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA.

Funding

Computational approaches to protein identification and quantification using MS/MSR01GM103725 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI RADIVOJAC, PREDRAG · 2012 to 2015
$1.7M
Computational approaches to protein identification and quantification using MS/MSR01RR024236 · NCRR · TRUSTEES OF INDIANA UNIVERSITY · PI RADIVOJAC, PREDRAG · 2008 to 2010
$810k
NCRR NIH HHS R01 RR024236NIGMS NIH HHS R01 GM103725
6 · The paper itself

Abstract

We present a generic Bayesian framework for the peptide and protein identification in proteomics, and provide a unified interpretation for the database searching and the

Indexed as

Bayesian methodsMass spectrometryProtein identificationShotgun proteomics

Identifiers

PMID24761189
PMCPMC3992622

What OpenQuestion holds

Textmetadata
LicenceTDM
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.