Article
PACMOS: an R package for Projection And Classification of Multi-Omic Samples
2026-07-07
Abstract excerpt
<h4>Motivation</h4> Integrated multi-omic analyses have transformed our understanding of cancer biology, giving rise to data-driven molecular classifications that capture disease heterogeneity beyond conventional histopathology. Among these approaches, multi-omic factor analysis (MOFA), a multimodal extension of principal component analysis, has been widely used to identify sources of molecular variation across o...
Topics
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- Bioinformatics and Genomic Networks
- Cancer Genomics and Diagnostics
- Cancer Immunotherapy and Biomarkers
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Ferroptosis and cancer prognosis
- Gene expression and cancer classification
- Hepatocellular Carcinoma Treatment and Prognosis
- Radiomics and Machine Learning in Medical Imaging
Identifiers and source
- Literature Corpus work
- 56a7fcf1-8fb1-5fb4-9601-917615fbed30
- DOI
- 10.64898/2026.07.01.735542
