ArticlePLoS computational biology2017
mixOmics: An R package for 'omics feature selection and multiple data integration.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2,091 papers, 1 of them a synthesis that pooled it.
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Who cites it
2,091 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Computational paradigms for antimicrobial resistance prediction: integrating multi-omics, structural modeling, and foundation artificial intelligence systems.Briefings in bioinformatics · 2026Pooled it
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- Modulation of Microbiota-Derived Bile Acids Linked to Symptom Amelioration in Crohn's Disease: Insights From a Randomized Clinical Trial With Xanthohumol Supplementation.Molecular nutrition & food research · 2026Trial
- Therapeutic TG2 inhibition reverses systemic multiomic dysregulation in celiac disease.BMC medicine · 2026Trial
- Weizmannia coagulans BC99 improved intestinal motility and chronic constipation through regulating gut microbiota: a randomized, double-blind, placebo-controlled trial.European journal of nutrition · 2026Trial
- Key molecular networks underlying retinol's biphasic effects on cell proliferation through multi-omics integrative analysis using genome-scale metabolic modeling.Synthetic and systems biotechnology · 2027Article
- Perinatal ampicillin exposure alters murine maternal fecal bile acid and acylcarnitine profiles.Gut microbes · 2026Article
- Beyond bacilli: integrating the microbiome into the TB research agenda.Gut microbes · 2026Review
- Storage-dependent changes in the soluble urinary proteome: a pre-analytical stability study in inflammatory clinical urine samples.The journal of liquid biopsy · 2026Article
- Article
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- Intratumoral androstene-3,17-dione defines breast cancer subtype and prognosis.EMBO molecular medicine · 2026Article
- Diagnosing Anaerobic Digesters' Function and Performance: From Meta-Omics to Integrated Meta-Omics Analyses.Environmental microbiology reports · 2026Review
- CCT2 defines a highly cisplatin-resistant and poor-prognosis subtype of lung adenocarcinoma.Oncology letters · 2026Article
- Spectral network analysis illuminates coordinated plant traits across a climate gradient.The New phytologist · 2026Article
- Comparing the Performance of Double-Stranded and Single-Stranded DNA Libraries for Ancient Oral Microbiome Reconstruction.Molecular ecology resources · 2026Article
- Multivariate associations between sleep patterns and self-regulation in adolescence: Canonical correlation analysis across ABCD and NCANDA cohorts.Chronobiology international · 2026Article
- Human microphysiological systems of aging recreate the in vivo process expediting evaluation of anti-geronic strategies.Nature biomedical engineering · 2026Article
- Peripheral blood mononuclear cell proteomic profiling reveals cytoskeletal- and chromatin-associated protein signatures in autism spectrum disorder.Brain, behavior, & immunity - health · 2026Article
2,031 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The advent of high throughput technologies has led to a wealth of publicly available 'omics data coming from different sources, such as transcriptomics, proteomics, metabolomics. Combining such large-scale biological data sets can lead to the discovery of important biological insights, provided that relevant information can be extracted in a holistic manner. Current statistical approaches have been focusing on identifying small subsets of molecules (a 'molecular signature') to explain or predict biological conditions, but mainly for a single type of 'omics. In addition, commonly used methods are univariate and consider each biological feature independently. We introduce mixOmics, an R package dedicated to the multivariate analysis of biological data sets with a specific focus on data exploration, dimension reduction and visualisation. By adopting a systems biology approach, the toolkit provides a wide range of methods that statistically integrate several data sets at once to probe relationships between heterogeneous 'omics data sets. Our recent methods extend Projection to Latent Structure (PLS) models for discriminant analysis, for data integration across multiple 'omics data or across independent studies, and for the identification of molecular signatures. We illustrate our latest mixOmics integrative frameworks for the multivariate analyses of 'omics data available from the package.
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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.