Article

A multi-modal cell-free RNA language model for liquid biopsy applications

2025-04-01

Abstract excerpt

Cell-free RNA (cfRNA) profiling has emerged as a powerful tool for non-invasive disease detection, but its application is limited by data sparsity and complexity, especially in settings with constrained sample availability. We introduce Exai-1, a multi-modal, transformer-based generative foundation model that integrates RNA sequence embeddings with cfRNA abundance data to capture biologically meaningful representa...

Topics

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

Identifiers and source

Literature Corpus work: 6d4fb142-4a89-5bef-a0a5-5d1d684ecdd2
DOI: 10.1101/2025.03.26.645557

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A multi-modal cell-free RNA language model for liquid biopsy applicationsDOI 10.1101/2025.03.26.645557Read

Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancerSemantic proximity Read

Beyond Annotation: Leveraging Raw RNA-seq Reads via Foundation Models for Multi-Cancer Early DetectionSemantic proximity Read

A Diffusion-Based Autoencoder for Learning Patient-Level Representations from Single-Cell DataSemantic proximity Read

mcBERT: Patient-Level Single-cell Transcriptomics Data RepresentationSemantic proximity Read

A Biologically Grounded Structural Causal Model Enables cfRNA Specific In-Context LearningSemantic proximity Read

FloREN: Decoding Immune Regulatory Networks through Interpretable Graph Transformer Patient RepresentationsSemantic proximity Read

Benchmarking large language models for cell-free RNA diagnostic biomarker discoverySemantic proximity Read

TabVI: Leveraging Lightweight Transformer Architectures to Learn Biologically Meaningful Cellular RepresentationsSemantic proximity Read

Adding layers of information to scRNA-seq data using pre-trained language modelsSemantic proximity Read

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

Bimodal masked language modeling for bulk RNA-seq and DNA methylation representation learningSemantic proximity Read

CLOP-DiT: Structured-Metadata-Conditioned Single-Cell Latent Generation via Contrastive Language-Omics Pretraining and Diffusion TransformersSemantic proximity Read