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Decoding the Microbiome-Metabolome Nexus: A Systematic Benchmark of Integrative Strategies
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/wics.51openalex-snapshot
Partial least squares regression and projection on latent structure regression (PLS Regression)
inferredcites →https://doi.org/10.1007/s00357-016-9207-5openalex-snapshot
Improved Classification for Compositional Data Using the α-transformation
inferredcites →https://doi.org/10.1016/j.ajhg.2015.04.003openalex-snapshot
Testing in Microbiome-Profiling Studies with MiRKAT, the Microbiome Regression-Based Kernel Association Test
inferredcites →https://doi.org/10.1016/j.ajhg.2019.01.002openalex-snapshot
ACAT: A Fast and Powerful p Value Combination Method for Rare-Variant Analysis in Sequencing Studies
inferredcites →https://doi.org/10.1016/j.anaerobe.2017.12.007openalex-snapshot
Differences in fecal microbial metabolites and microbiota of children with autism spectrum disorders
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Advances in the integration of metabolomics and metagenomics for human gut microbiome and their clinical applications
inferredcites →https://doi.org/10.1021/acsinfocus.7e5035openalex-snapshot
Statistical Data Analysis of Microbiomes and Metabolomics
inferredcites →https://doi.org/10.1037/h0026143openalex-snapshot
A general canonical correlation index.
inferredcites →https://doi.org/10.1038/ng2088openalex-snapshot
A new multipoint method for genome-wide association studies by imputation of genotypes
inferredcites →https://doi.org/10.1038/s41467-021-25694-1openalex-snapshot
The gut microbiome in konzo
inferredcites →https://doi.org/10.1038/s41467-023-42788-0openalex-snapshot
Microbiome and metabolome features in inflammatory bowel disease via multi-omics integration analyses across cohorts
inferredcites →https://doi.org/10.1038/s41522-022-00345-5openalex-snapshot
The gut microbiome-metabolome dataset collection: a curated resource for integrative meta-analysis
inferredcites →https://doi.org/10.1038/s41575-019-0258-zopenalex-snapshot
Gut microbiota-derived metabolites as key actors in inflammatory bowel disease
inferredcites →https://doi.org/10.1038/s41587-023-02033-xopenalex-snapshot
Discovery of sparse, reliable omic biomarkers with Stabl
inferredcites →https://doi.org/10.1038/s41591-022-01686-6openalex-snapshot
Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease
inferredcites →https://doi.org/10.1038/s41591-022-01688-4openalex-snapshot
Microbiome and metabolome features of the cardiometabolic disease spectrum
inferredcites →https://doi.org/10.1038/s41598-023-45066-7openalex-snapshot
Uncovering the relationship between gut microbial dysbiosis, metabolomics, and dietary intake in type 2 diabetes mellitus and in healthy volunteers: a multi-omics analysis
inferredcites →https://doi.org/10.1080/19490976.2020.1747329openalex-snapshot
Altered gut microbial profile is associated with abnormal metabolism activity of Autism Spectrum Disorder
inferredcites →https://doi.org/10.1093/bib/bbac622openalex-snapshot
PLSDA-batch: a multivariate framework to correct for batch effects in microbiome data
inferredcites →https://doi.org/10.1093/bib/bbx104openalex-snapshot
A broken promise: microbiome differential abundance methods do not control the false discovery rate
inferredcites →https://doi.org/10.1093/bioinformatics/btac003openalex-snapshot
MIMOSA2: a metabolic network-based tool for inferring mechanism-supported relationships in microbiome-metabolome data
inferredcites →https://doi.org/10.1093/bioinformatics/btac232openalex-snapshot
High-sensitivity pattern discovery in large, paired multiomic datasets
inferredcites →https://doi.org/10.1093/bioinformatics/bty1054openalex-snapshot
DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays
inferredcites →https://doi.org/10.1093/bioinformatics/btz824openalex-snapshot
MDiNE : a model to estimate differential co-occurrence networks in microbiome studies
inferredcites →https://doi.org/10.1093/biomet/28.3-4.321openalex-snapshot
RELATIONS BETWEEN TWO SETS OF VARIATES
inferredcites →https://doi.org/10.1093/biomet/71.2.323openalex-snapshot
Log Contrast Models for Experiments with Mixtures
inferredcites →https://doi.org/10.1093/biostatistics/kxp008openalex-snapshot
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
inferredcites →https://doi.org/10.1093/nar/gkae253openalex-snapshot
MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation
inferredcites →https://doi.org/10.1093/nargab/lqaa029openalex-snapshot
Variable selection in microbiome compositional data analysis
inferredcites →https://doi.org/10.1099/mgen.0.000409openalex-snapshot
Metagenomic approaches in microbial ecology: an update on whole-genome and marker gene sequencing analyses
inferredcites →https://doi.org/10.1099/mgen.0.000738openalex-snapshot
Clostridioides difficile strain-dependent and strain-independent adaptations to a microaerobic environment
inferredcites →https://doi.org/10.1111/biom.12995openalex-snapshot
Log-Ratio Lasso: Scalable, Sparse Estimation for Log-Ratio Models
inferredcites →https://doi.org/10.1111/biom.13336openalex-snapshot
Compositional knockoff filter for high‐dimensional regression analysis of microbiome data
inferredcites →https://doi.org/10.1111/j.1467-9868.2009.00723.xopenalex-snapshot
Sparse Partial Least Squares Regression for Simultaneous Dimension Reduction and Variable Selection
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1111/rssb.12265openalex-snapshot
Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection
inferredcites →https://doi.org/10.1128/mbio.03186-19openalex-snapshot
Fecal Metabolomic Signatures in Colorectal Adenoma Patients Are Associated with Gut Microbiota and Early Events of Colorectal Cancer Pathogenesis
inferredcites →https://doi.org/10.1146/annurev-statistics-042720-124436openalex-snapshot
Compositional Data Analysis
inferredcites →https://doi.org/10.1186/s12859-023-05219-xopenalex-snapshot
Bayesian compositional regression with microbiome features via variational inference
inferredcites →https://doi.org/10.1186/s12866-021-02282-3openalex-snapshot
Associations between the gut microbiome and metabolome in early life
inferredcites →https://doi.org/10.1186/s13073-018-0525-6openalex-snapshot
The microbiome in precision medicine: the way forward
inferredcites →https://doi.org/10.1186/s13148-021-01064-yopenalex-snapshot
DNA methylation and gene expression integration in cardiovascular disease
inferredcites →https://doi.org/10.1186/s40168-022-01320-0openalex-snapshot
A comprehensive evaluation of microbial differential abundance analysis methods: current status and potential solutions
inferredcites →https://doi.org/10.1214/12-aoas592openalex-snapshot
Variable selection for sparse Dirichlet-multinomial regression with an application to microbiome data analysis
inferredcites →https://doi.org/10.1371/journal.pcbi.1004226openalex-snapshot
Sparse and Compositionally Robust Inference of Microbial Ecological Networks
inferredcites →https://doi.org/10.1371/journal.pcbi.1005752openalex-snapshot
mixOmics: An R package for ‘omics feature selection and multiple data integration
inferredcites →https://doi.org/10.1371/journal.pcbi.1009021openalex-snapshot
MiMeNet: Exploring microbiome-metabolome relationships using neural networks
inferredcites →https://doi.org/10.15252/msb.20178124openalex-snapshot
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
inferredcites →https://doi.org/10.2337/db20-1903-popenalex-snapshot
1903-P: Low Level of and Decrease in Serum Amylase (AMY) Increases the Risk of Type 2 Diabetes Mellitus (T2DM)
inferredcites →https://doi.org/10.3389/fendo.2022.1015557openalex-snapshot
Multiomics signatures of type 1 diabetes with and without albuminuria
inferredcites →https://doi.org/10.3389/fgene.2019.00454openalex-snapshot
Multi-Omic Analysis of the Microbiome and Metabolome in Healthy Subjects Reveals Microbiome-Dependent Relationships Between Diet and Metabolites
inferredcites →https://doi.org/10.3389/fmicb.2016.01144openalex-snapshot
Gut Microbiota Profiling: Metabolomics Based Approach to Unravel Compounds Affecting Human Health
inferredcites →https://doi.org/10.3389/fmicb.2017.02224openalex-snapshot
Microbiome Datasets Are Compositional: And This Is Not Optional
inferredcites →https://doi.org/10.3390/ijms160716067openalex-snapshot
Mevalonate Pathway Blockade, Mitochondrial Dysfunction and Autophagy: A Possible Link
inferredcites →https://doi.org/10.3390/metabo10050181openalex-snapshot
Metabolome–Microbiome Crosstalk and Human Disease
inferredcites →https://doi.org/10.7554/elife.88956openalex-snapshot
Statistical and computational methods for integrating microbiome, host genomics, and metabolomics data
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