Article

Pathformer: a biological pathway informed Transformer integrating multi-omics data for disease diagnosis and prognosis

2023-05-24

Abstract excerpt

Multi-omics data provide a comprehensive view of gene regulation at multiple levels, which is helpful in achieving accurate diagnosis of complex diseases like cancer. To integrate various multi-omics data of tissue and liquid biopsies for disease diagnosis and prognosis, we developed a biological pathway informed Transformer, Pathformer. It embeds multi-omics input with a compacted multi-modal vector and a pathway...

Topics

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

Identifiers and source

Literature Corpus work: 182e6292-8842-5a8b-825b-688441bbb818
DOI: 10.1101/2023.05.23.541554

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Pathformer: a biological pathway informed Transformer integrating multi-omics data for disease diagnosis and prognosisDOI 10.1101/2023.05.23.541554Read

PIMO: Pathway-based Interpretable Multi-Omics interactions for multi-omics integrationSemantic proximity Read

DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics dataSemantic proximity Read

MOT: a Multi-Omics Transformer for multiclass classification tumour types predictionsSemantic proximity Read

Identifying key multifunctional components shared by critical cancer and normal liver pathways via sparseGMMSemantic proximity Read

LaCONIC: A Label-Aware and Graph-Guided Contrastive Multi-Omics Collaborative Learning Model for Cancer Risk PredictionSemantic proximity Read

Integrating multi-omics data through deep learning for accurate cancer prognosis predictionSemantic proximity Read

DeepMOCCA: A pan-cancer prognostic model identifies personalized prognostic markers through graph attention and multi-omics data integrationSemantic proximity Read

Deep learning based on multi-omics integration identifies potential therapeutic targets in breast cancerSemantic proximity Read

Identification of Cancer Risk Groups through Multi-Omics Integration using Autoencoder and Tensor AnalysisSemantic proximity Read

Multi-omics data integration via novel interpretable k-hop graph attention network for signaling network inferenceSemantic proximity Read

Interpretable Deep Learning-Based Multi-Omics Integration for Prognosis in Hepatocellular CarcinomaSemantic proximity Read