Article

Enhancement of network architecture alignment in comparative single-cell studies

2024-08-30

Abstract excerpt

1 Animal data can provide meaningful context for human gene expression at the single-cell level. This context can improve cell-type or cell-state detection and clarify how well the animal models human biological processes. To achieve this, we propose a deep learning approach that identifies a unified latent space to map complex patterns between datasets. Specifically, we combine variational autoencoders with a dat...

Topics

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

Identifiers and source

Literature Corpus work: 1b724d09-7248-5e84-bbb5-8bb013672836
DOI: 10.1101/2024.08.30.608255

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Enhancement of network architecture alignment in comparative single-cell studiesDOI 10.1101/2024.08.30.608255Read

Enhancement of Network Architecture Alignment in Comparative Single-Cell StudiesSemantic proximity Read

Construction of continuously expandable single-cell atlases through integration of heterogeneous datasets in a generalized cell-embedding spaceSemantic proximity Read

Deciphering shared and divergent tissue architectures from cross-species spatial transcriptomicsSemantic proximity Read

inVAE: Conditionally invariant representation learning for generating multivariate single-cell reference mapsSemantic proximity Read

DOLPHIN Advances Cell Representation Beyond Gene-Level by Integrating Exon-Level Quantification and Junction Reads with Deep Neural NetworksSemantic proximity Read

Benchmarking deep learning methods for biologically conserved single-cell integrationSemantic proximity Read

Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function.Semantic proximity Read

A deep-learning tool for species-agnostic integration of cancer cell statesSemantic proximity Read

Universal Cell Embeddings: A Foundation Model for Cell BiologySemantic proximity Read

Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding spaceSemantic proximity Read

Cross-species cell-type assignment of single-cell RNA-seq by a heterogeneous graph neural networkSemantic proximity Read

Sfaira accelerates data and model reuse in single cell genomicsSemantic proximity Read