ArticleBriefings in bioinformatics2017
Tensor factorization toward precision medicine.
Article in Briefings in bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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.
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Who cites it
24 citing papers in PubMed.
- Advancing biological understanding of cellular senescence with computational multiomics.Nature genetics · 2025Review
- Integrating Multi-Omics with environmental data for precision health: A novel analytic framework and case study on prenatal mercury induced childhood fatty liver disease.Environment international · 2024Article
- Understand how machine learning impact lung cancer research from 2010 to 2021: A bibliometric analysis.Open medicine (Warsaw, Poland) · 2024Article
- Artificial intelligence-based clinical decision support in pediatrics.Pediatric research · 2023Review
- Multimodal machine learning in precision health: A scoping review.NPJ digital medicine · 2022Article
- Article
- Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis.Genomics, proteomics & bioinformatics · 2022Review
- Identification of genes associated with altered gene expression and m6A profiles during hypoxia using tensor decomposition based unsupervised feature extraction.Scientific reports · 2021Article
- The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- CP Tensor Decomposition with Cannot-Link Intermode Constraints.Proceedings of the ... SIAM International Conference on Data Mining. SIAM International Conference on Data Mining · 2019Article
- Review
- Predicting clinically promising therapeutic hypotheses using tensor factorization.BMC bioinformatics · 2019Article
- Non-Negative Matrix Factorization for Drug Repositioning: Experiments with the repoDB Dataset.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2018Article
- PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition.Nature communications · 2018Article
- Temporal prediction of in-hospital falls using tensor factorisation.BMJ innovations · 2018Article
- High-fidelity phenotyping: richness and freedom from bias.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms.Journal of biomedical informatics · 2018Article
- Tensor Factorization for Precision Medicine in Heart Failure with Preserved Ejection Fraction.Journal of cardiovascular translational research · 2017Review
- Discriminative and Distinct Phenotyping by Constrained Tensor Factorization.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Precision medicine initiatives come amid the rapid growth in quantity and variety of biomedical data, which exceeds the capacity of matrix-oriented data representations and many current analysis algorithms. Tensor factorizations extend the matrix view to multiple modalities and support dimensionality reduction methods that identify latent groups of data for meaningful summarization of both features and instances. In this opinion article, we analyze the modest literature on applying tensor factorization to various biomedical fields including genotyping and phenotyping. Based on the cited work including work of our own, we suggest that tensor applications could serve as an effective tool to enable frequent updating of medical knowledge based on the continually growing scientific and clinical evidence. We encourage extensive experimental studies to tackle challenges including design choice of factorizations, integrating temporality and algorithm scalability.
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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.