Article

Cross-species imputation and comparison of single-cell transcriptomic profiles

2023-10-20

Abstract excerpt

Cross-species comparison and prediction of gene expression profiles are important to understand regulatory changes during evolution and to transfer knowledge learned from model organisms to humans. Single-cell RNA-seq (scRNA-seq) profiles enable us to capture gene expression profiles with respect to variations among individual cells; however, cross-species comparison of scRNA-seq profiles is challenging because of...

Topics

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

Identifiers and source

Literature Corpus work: 6fdae353-f285-5a19-a425-10038ee2c54c
DOI: 10.1101/2023.10.19.563173

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Cross-species imputation and comparison of single-cell transcriptomic profilesDOI 10.1101/2023.10.19.563173Read

A Joint Deep Learning Model for Simultaneous Batch Effect Correction, Denoising and Clustering in Single-Cell TranscriptomicsSemantic proximity Read

Batch alignment of single-cell transcriptomics data using deep metric learningSemantic proximity Read

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

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

FIRM: Flexible Integration of single-cell RNA-sequencing data for large-scale Multi-tissue cell atlas datasetsSemantic proximity Read

scCompass: An integrated cross-species scRNA-seq database for AI-readySemantic proximity Read

XChrom: a cross-cell chromatin accessibility prediction model integrating genomic sequence and cellular contextSemantic proximity Read

Highly accurate estimation of cell type abundance in bulk tissues based on single-cell reference and domain adaptive matchingSemantic proximity Read

Cell-type Annotation with Accurate Unseen Cell-type Identification Using Multiple ReferencesSemantic proximity Read

Benchmarking integration of single-cell differential expressionSemantic proximity Read

Scaling cross-tissue single-cell annotation modelsSemantic proximity Read

GeneCompass: Deciphering Universal Gene Regulatory Mechanisms with Knowledge-Informed Cross-Species Foundation ModelSemantic proximity Read