Evidence map›Paper›PMID 36304274›Full record

ArticleFrontiers in bioinformatics2022

Assessing equivalent and inverse change in genes between diverse experiments.

Lisa Neums, Devin C Koestler, Qing Xia, Jinxiang Hu, Shachi Patel, Shelby Bell-Glenn, Dong Pei, Bo Zhang, Samuel Boyd, Prabhakar Chalise and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioinformatics, 2022. 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
2.1field-weighted citation impact, top 12% of its field
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, 22 citations in OpenAlex.

  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

11 authors at 2 institutions in 1 country.

Lisa NeumsDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Devin C KoestlerDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Qing XiaDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Jinxiang HuDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Shachi PatelDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Shelby Bell-GlennDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Dong PeiDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Bo ZhangDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Samuel BoydDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Prabhakar ChaliseDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Jeffrey A ThompsonDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
The University of Kansas Cancer Center · USUniversity of Kansas Medical Center · US

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Douglas E Wright · 2012 to 2026
$63.0M
NIGMS NIH HHS P20 GM103418
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

differential gene expressiondiverse experimentsequivalence testmolecular markerstudy comparison

Identifiers

PMID36304274
PMCPMC9580844
OpenAlexW4296518629

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.