Article

Hypergraph factorisation for multi-tissue gene expression imputation

2022-08-01

Abstract excerpt

<h4> A bstract </h4> Integrating gene expression across scales and tissues is crucial for understanding the biological mechanisms that drive disease and characterise homeostasis. However, traditional multi-tissue integration methods cannot handle uncollected tissues or rely on genotype information, which is subject to privacy concerns and often unavailable. To address these challenges, we present HYFA ( Hy per...

Topics

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

Identifiers and source

Literature Corpus work: eb879fae-c72f-579c-8ea0-dd09397ea4f8
DOI: 10.1101/2022.07.31.502211

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Hypergraph factorisation for multi-tissue gene expression imputationDOI 10.1101/2022.07.31.502211Read

Cross-tissue Graph Attention Networks for Semi-supervised Gene Expression PredictionSemantic proximity Read

Estimating genotype-tissue specific gene expression using hybrid deep learning.Semantic proximity Read

Augmenting the human interactome for disease prediction through gene networks inferred from human cell atlasSemantic proximity Read

Joint Gene Network Construction by Single-Cell RNA Sequencing DataSemantic proximity Read

Partitioning and aggregating cross-tissue and tissue-specific genetic effects to identify gene-trait associations.Semantic proximity Read

TransferTWAS: A transfer learning framework for cross-tissue transcriptome-wide association study.Semantic proximity Read

GROMTools: scalable individual-level GReX imputation for mega-biobank-scale cohortsSemantic proximity Read

A convex optimization framework for gene-level tissue network estimation with missing data and its application in understanding disease architectureSemantic proximity Read

Gene Expression Imputation with Generative Adversarial Imputation NetsSemantic proximity Read

scGNN: a novel graph neural network framework for single-cell RNA-Seq analysesSemantic proximity Read

Co-expression networks reveal the tissue-specific regulation of transcription and splicing.Semantic proximity Read

Imputing Gene Expression in Uncollected Tissues Within and Beyond GTEx.Semantic proximity Read