ArticleJournal of the American Statistical Association2016
Meta-analytic framework for sparse
Article in Journal of the American Statistical Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
Who cites it
13 citing papers in PubMed.
- A Tutorial on Bayesian Multi-Study Factor Analysis With Applications in Nutrition and Genomics.Statistics in medicine · 2026Article
- Outcome-guided Bayesian clustering for disease subtype discovery using high-dimensional transcriptomic data.Journal of applied statistics · 2025Article
- Plant biotechnology research with single-cell transcriptome: recent advancements and prospects.Plant cell reports · 2024Review
- Experimental design and power calculation in omics circadian rhythmicity detection using the cosinor model.Statistics in medicine · 2023Article
- Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges.BMC medicine · 2023Review
- Advances and Opportunities in Single-Cell Transcriptomics for Plant Research.Annual review of plant biology · 2021Review
- Event Surrogate from Clinical Pathway Completion to Daily Meal for Availability Extension Using Standard Electronic Medical Records: a Retrospective Cohort Study.Journal of medical systems · 2021Article
- Detecting survival-associated biomarkers from heterogeneous populations.Scientific reports · 2021Article
- Biomarker Categorization in Transcriptomic Meta-Analysis by Concordant Patterns With Application to Pan-Cancer Studies.Frontiers in genetics · 2021Article
- Flexible experimental designs for valid single-cell RNA-sequencing experiments allowing batch effects correction.Nature communications · 2020Article
- BAYESIAN LATENT HIERARCHICAL MODEL FOR TRANSCRIPTOMIC META-ANALYSIS TO DETECT BIOMARKERS WITH CLUSTERED META-PATTERNS OF DIFFERENTIAL EXPRESSION SIGNALS.The annals of applied statistics · 2019Article
- Meta-analytic principal component analysis in integrative omics application.Bioinformatics (Oxford, England) · 2018Article
- Integrative SparseThe annals of applied statistics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Disease phenotyping by omics data has become a popular approach that potentially can lead to better personalized treatment. Identifying disease subtypes via unsupervised machine learning is the first step towards this goal. In this paper, we extend a sparse
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What OpenQuestion holds
Registered trials
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.