Evidence map›Paper›PMID 36922981›Full record

ArticleBioinformatics advances2023

promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling.

Chathurani Ranathunge, Sagar S Patel, Lubna Pinky, Vanessa L Correll, Shimin Chen, O John Semmes, Robert K Armstrong, C Donald Combs, Julius O Nyalwidhe

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In one paragraph

Article in Bioinformatics advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Chathurani RanathungeEastern Virginia Medical School, School of Health Professions, Norfolk, VA 23501, USA.ORCID https://orcid.org/0000-0003-1901-2119
Sagar S PatelEastern Virginia Medical School, School of Health Professions, Norfolk, VA 23501, USA.
Lubna PinkyEastern Virginia Medical School, School of Health Professions, Norfolk, VA 23501, USA.ORCID https://orcid.org/0000-0001-6826-3753
Vanessa L CorrellThe Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School, Norfolk, VA 23501, USA.
Shimin ChenThe Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School, Norfolk, VA 23501, USA.
O John SemmesThe Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School, Norfolk, VA 23501, USA.
Robert K ArmstrongEastern Virginia Medical School, School of Health Professions, Norfolk, VA 23501, USA.
C Donald CombsEastern Virginia Medical School, School of Health Professions, Norfolk, VA 23501, USA.
Julius O NyalwidheThe Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School, Norfolk, VA 23501, USA.

Funding

Virginia-UCLA-Toronto Biomarker Characterization CenterU2CCA271894 · NCI · OLD DOMINION UNIVERSITY · PI Paul Christopher Boutros, OLIVER John SEMMES · 2022 to 2026
$3.2M
NCI NIH HHS U2C CA271894
6 · The paper itself

Abstract

Summary: We present promor, a comprehensive, user-friendly R package that streamlines label-free quantification proteomics data analysis and building machine learning-based predictive models with top protein candidates. Availability and implementation: promor is freely available as an open source R package on the Comprehensive R Archive Network (CRAN) (https://CRAN.R-project.org/package=promor) and distributed under the Lesser General Public License (version 2.1 or later). Development version of promor is maintained on GitHub (https://github.com/caranathunge/promor) and additional documentation and tutorials are provided on the package website (https://caranathunge.github.io/promor/). Supplementary information: Supplementary data are available at

Identifiers

PMID36922981
PMCPMC10010602

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read6
measurements read12
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.