ArticleThe annals of applied statistics2017
Integrative Sparse
Article in The annals of applied statistics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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
14 citing papers in PubMed.
- Outcome-guided Bayesian clustering for disease subtype discovery using high-dimensional transcriptomic data.Journal of applied statistics · 2025Article
- BIDIMENSIONAL LINKED MATRIX FACTORIZATION FOR PAN-OMICS PAN-CANCER ANALYSIS.The annals of applied statistics · 2022Article
- Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review.Frontiers in genetics · 2022Review
- Vertical integration methods for gene expression data analysis.Briefings in bioinformatics · 2021Review
- Integration of Proteomics and Other Omics Data.Methods in molecular biology (Clifton, N.J.) · 2021Article
- SMRT: Randomized Data Transformation for Cancer Subtyping and Big Data Analysis.Frontiers in oncology · 2021Article
- Review
- Incorporating prior information with fused sparse group lasso: Application to prediction of clinical measures from neuroimages.Biometrics · 2019Article
- A Selective Review of Multi-Level Omics Data Integration Using Variable Selection.High-throughput · 2019Review
- Assisted gene expression-based clustering with AWNCut.Statistics in medicine · 2018Article
- Bayesian integrative model for multi-omics data with missingness.Bioinformatics (Oxford, England) · 2018Article
- Integrative SparseThe annals of applied statistics · 2017Article
- Integrative clustering methods for multi-omics data.Wiley interdisciplinary reviews. Computational statisticsArticle
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Cancer subtypes discovery is the first step to deliver personalized medicine to cancer patients. With the accumulation of massive multi-level omics datasets and established biological knowledge databases, omics data integration with incorporation of rich existing biological knowledge is essential for deciphering a biological mechanism behind the complex diseases. In this manuscript, we propose an integrative 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.