ArticleMetabolomics : Official journal of the Metabolomic Society2018
Group-wise ANOVA simultaneous component analysis for designed
Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Deep learning and radiomics-based system for early diagnosis of hip synovitis in juvenile idiopathic arthritis.Frontiers in immunology · 2025Article
- Analysis of microbiome high-dimensional experimental design data using generalized linear models and ANOVA simultaneous component analysis.Frontiers in microbiomes · 2025Article
- Defence-related metabolic changes in wheat (Frontiers in plant science · 2023Article
- Comparison of Multivariate ANOVA-Based Approaches for the Determination of Relevant Variables in Experimentally Designed Metabolomic Studies.Molecules (Basel, Switzerland) · 2022Article
- Integrative analysis of gut microbiota and fecal metabolites in metabolic associated fatty liver disease patients.Frontiers in microbiology · 2022Article
- Article
- ANOVA simultaneous component analysis: A tutorial review.Analytica chimica acta: X · 2020Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionModern
objectivesWe introduce here a sparse implementation of ASCA termed group-wise ANOVA-simultaneous component analysis (GASCA) with the aim of obtaining models that are easier to interpret.
methodsGASCA is based on the concept of group-wise sparsity introduced in group-wise principal components analysis where structure to impose sparsity is defined in terms of groups of correlated variables found in the correlation matrices calculated from the effect matrices.
resultsThe GASCA model, containing only selected subsets of the original variables, is easier to interpret and describes relevant biological processes.
conclusionsGASCA is applicable to any kind of
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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.