Evidence map›Paper›PMID 40406512›Full record

ArticleBayesian analysis2025

Nonparametric Bayes Differential Analysis of Multigroup DNA Methylation Data.

Chiyu Gu, Veerabhadran Baladandayuthapani, Subharup Guha

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bayesian analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Chiyu GuFormerly at the University of Missouri. Currently employed at Bayer Crop Science, 700 Chesterfield Pkwy W, Chesterfield, MO 63017.
Veerabhadran BaladandayuthapaniDepartment of Biostatistics, University of Michigan.
Subharup GuhaDepartment of Biostatistics, University of Florida.

Funding

The Boston Lung Cancer Survival CohortU01CA209414 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI David C Christiani · 2017 to 2026
$12.2M
Bayesian Network-Based Integrative Genomics Methods for Precision MedicineR01CA244845 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BALADANDAYUTHAPANI, VEERABHADRAN, MORRIS, JEFFREY S · 2021 to 2024
$1.8M
Integrative methods for high-dimensional genomics dataR01CA160736 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BALADANDAYUTHAPANI, VEERABHADRAN · 2011 to 2014
$1.4M
Detecting racial disparities in cancer survival by integrating multiple high-dimensional observational studiesR01CA269398 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GUHA, SUBHARUP, LI, YI · 2022 to 2025
$1.3M
NCI NIH HHS R01 CA160736NCI NIH HHS R01 CA244845NCI NIH HHS R01 CA269398NCI NIH HHS U01 CA209414
6 · The paper itself

Abstract

DNA methylation datasets in cancer studies are comprised of measurements on a large number of genomic locations called cytosine-phosphate-guanine (CpG) sites with complex correlation structures. A fundamental goal of these studies is the development of statistical techniques that can identify disease genomic signatures across multiple patient groups defined by different experimental or biological conditions. We propose

Indexed as

2R2CFFirst order modelsMixture modelsSticky Pitman-Yor processTwo-restaurant two-cuisine franchise

Identifiers

PMID40406512
PMCPMC12094113

What OpenQuestion holds

Textmetadata
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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.