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Discovers shared and view-specific latent factors across bulk multi-omics blocks (RNA-seq, proteomics, methylation) on a common sample axis with MOFA2's unsupervised Bayesian group factor model, then attributes per-view variance explained and interprets signed factor weights. Covers why a factor ...
End-to-end multi-omics integration workflow. Orchestrates data harmonization, MOFA/mixOmics integration, factor interpretation, and downstream analysis across transcriptomics, proteomics, metabolomics, and other modalities. Use when integrating multiple omics datasets.
Multi-Omics Factor Analysis (MOFA2) for unsupervised integration of multiple data modalities. Identifies shared and view-specific sources of variation. Use when integrating RNA-seq, proteomics, methylation, or other omics to discover latent factors driving biological variation across modalities.
Agent skill for Data Scientist, ML / AI Engineer, Business Intelligence Analyst, published by Rudson-Oliveira. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, Business Intelligence Analyst, Researcher, published by Rudson-Oliveira. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, Business Intelligence Analyst, Researcher, published by FridrichMethod. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, Business Intelligence Analyst, Researcher, published by FridrichMethod. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, Business Intelligence Analyst, Researcher, published by majiayu000. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, Business Intelligence Analyst, Researcher, published by BioTender-max. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, Business Intelligence Analyst, Researcher, published by BioTender-max. Project details and file access are provided by the publisher.
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