Evidence map›Paper›PMID 37885703›Full record

ArticleStat (International Statistical Institute)

Accounting for extra-binomial variability with differentially expressed genetic pathway data: a collaborative bioinformatic study.

Dillon T Aberasturi, Walter W Piegorsch, Edward J Bedrick, Yves A Lussier

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stat (International Statistical Institute). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dillon T AberasturiCenter for Biomedical Informatics and Biostatistics, University of Arizona, Tucson, AZ, USA.
Walter W PiegorschCenter for Biomedical Informatics and Biostatistics, University of Arizona, Tucson, AZ, USA.
Edward J BedrickCenter for Biomedical Informatics and Biostatistics, University of Arizona, Tucson, AZ, USA.
Yves A LussierCenter for Biomedical Informatics and Biostatistics, University of Arizona, Tucson, AZ, USA.

Funding

Immuno-Genetic Basis for Human Disseminated CoccidioidomycosisU01AI122275 · NIAID · UNIVERSITY OF ARIZONA · PI GALGIANI, JOHN N, HOLLAND, STEVEN M · 2017 to 2020
$2.3M
Systems-level genetic patterns underlying disseminated coccidioidomycosis in humansR21AI152394 · NIAID · UNIVERSITY OF UTAH · PI LUSSIER, YVES A · 2020 to 2021
$448k
NIAID NIH HHS R21 AI152394NIAID NIH HHS U01 AI122275
6 · The paper itself

Abstract

We describe a collaborative project involving faculty and students in a university bioinformatics/biostatistics center. The project focuses on identification of differentially expressed gene sets ("pathways") in subjects expressing a disease state, medical intervention, or other distinguishable condition. The key feature of the endeavor is the data structure presented to the team: a single cohort of subjects with two samples taken from each subject - one for each of two differing conditions without replication. This particular structure leads to essentially a cohort of

Indexed as

2×2 contingency tablebioinformaticscontinuity correctiondesign effect adjustmentenriched gene setmedical informaticsoverdispersionunderdispersion

Identifiers

PMID37885703
PMCPMC10601968

What OpenQuestion holds

Textmetadata
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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.