Evidence map›Paper›PMID 32277466›Full record

ArticleBiometrics2021

Zero-inflated Poisson factor model with application to microbiome read counts.

Tianchen Xu, Ryan T Demmer, Gen Li

Open access · greenAbstract read
In one paragraph

Article in Biometrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 45 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Tianchen XuDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York.ORCID 0000-0002-0102-7630
Ryan T DemmerDivision of Epidemiology, School of Public Health, University of Minnesota, Minneapolis, Minnesota.
Gen LiDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York.ORCID 0000-0002-7298-2141
Columbia University · USUniversity of Minnesota · US

Funding

The Subgingival Microbiome and Impaired Glucose RegulationR01DK102932 · NIDDK · UNIVERSITY OF MINNESOTA · PI DEMMER, RYAN T. · 2015 to 2019
$3.1M
Multivariate analysis of microbial absolute abundance in population-based studies.R03DE027773 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DEMMER, RYAN T., LI, GEN · 2018 to 2019
$329k
NIDCR NIH HHS R03 DE027773NIDCR NIH HHS R03DE027773NIDDK NIH HHS R01 DK102932
6 · The paper itself

Abstract

Dimension reduction of high-dimensional microbiome data facilitates subsequent analysis such as regression and clustering. Most existing reduction methods cannot fully accommodate the special features of the data such as count-valued and excessive zero reads. We propose a zero-inflated Poisson factor analysis model in this paper. The model assumes that microbiome read counts follow zero-inflated Poisson distributions with library size as offset and Poisson rates negatively related to the inflated zero occurrences. The latent parameters of the model form a low-rank matrix consisting of interpretable loadings and low-dimensional scores that can be used for further analyses. We develop an efficient and robust expectation-maximization algorithm for parameter estimation. We demonstrate the efficacy of the proposed method using comprehensive simulation studies. The application to the Oral Infections, Glucose Intolerance, and Insulin Resistance Study provides valuable insights into the relation between subgingival microbiome and periodontal disease.

Indexed as

MicrobiotaAlgorithmsComputer SimulationPoisson DistributionResearch Design16S sequencingfactor analysislow rankmicrobiome datazero inflation

Identifiers

PMID32277466
PMCPMC7594114
OpenAlexW3016087356

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.