Article

MESSI: Multimodal Experiments with SyStematic Interrogation using nextflow

2026-03-11

Abstract excerpt

<h4>Background</h4> Multimodal biomedical studies increasingly profile multiple molecular and clinical modalities from the same samples, creating new opportunities for disease prediction and biological discovery. However, benchmarking multimodal integration methods remains difficult because studies often use inconsistent preprocessing, unequal tuning strategies, and non-comparable evaluation schemes, limiting fai...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 27849f84-b1b4-58f3-ac0e-ed7a009c6184
DOI: 10.64898/2026.03.09.710452

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

MESSI: Multimodal Experiments with SyStematic Interrogation using nextflowDOI 10.64898/2026.03.09.710452Read

Flexynesis: A deep learning framework for bulk multi-omics data integration for precision oncology and beyondSemantic proximity Read

Unifying multimodal single-cell data with a mixture-of-experts <i>β</i> -variational autoencoder frameworkSemantic proximity Read

Rapid and Reproducible Multimodal Biological Foundation Model Development with AIDO.ModelGeneratorSemantic proximity Read

SCPInt: explicit disentanglement of biological and batch variation for single-cell proteomics integrationSemantic proximity Read

Quantifying the advantage of multimodal data fusion for survival prediction in cancer patientsSemantic proximity Read

CAPTAIN: A multimodal foundation model pretrained on co-assayed single-cell RNA and proteinSemantic proximity Read

BiomarkerML: A cloud-based proteomics ML workflow for biomarker discoverySemantic proximity Read

mosaicMPI: a framework for modular data integration across cohorts and -omics modalitiesSemantic proximity Read

Multimodal CustOmics: A Unified and Interpretable Multi-Task Deep Learning Framework for Multimodal Integrative Data Analysis in OncologySemantic proximity Read

Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and PrognosisSemantic proximity Read

Multimodal Machine Learning in Healthcare: A Tutorial and ReviewSemantic proximity Read

CHAMPOLLION: Robust Multi-Omics Integration via Inverse Optimal Transport Using Paired CellsSemantic proximity Read