Article

Mouse-Geneformer: A Deep Learning Model for Mouse Single-Cell Transcriptome and Its Cross-Species Utility

2024-09-13

Abstract excerpt

Deep learning techniques are increasingly utilized to analyze large-scale single-cell RNA sequencing (scRNA-seq) data, offering valuable insights from complex transcriptome datasets. Geneformer, a pre-trained model using a Transformer Encoder architecture and human scRNA-seq datasets, has demonstrated remarkable success in human transcriptome analysis. However, given the prominence of the mouse, Mus musculus , as...

Topics

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

Identifiers and source

Literature Corpus work: 718c963f-f380-511f-833e-a49c1e35516b
DOI: 10.1101/2024.09.09.611960

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Mouse-Geneformer: A Deep Learning Model for Mouse Single-Cell Transcriptome and Its Cross-Species UtilityDOI 10.1101/2024.09.09.611960Read

Genes in Humans and Mice: Insights from Deep learning of 777K Bulk TranscriptomesSemantic proximity Read

CSLAN: Cross-Species Latent Alignment Network for Trauma-Related Cell-Type ClassificationSemantic proximity Read

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

Spatial transcriptome sequencing of FFPE tissues at cellular levelSemantic proximity Read

TissueFormer: Extending single-cell foundation models to predict population-level phenotypesSemantic proximity Read

Improved integration of single cell transcriptome data demonstrated on heart failure in mice and menSemantic proximity Read

scMEDAL for the interpretable analysis of single-cell transcriptomics data with batch effect visualization using a deep mixed effects autoencoderSemantic proximity Read

Excel Template for Identifying Mouse Myeloid Cell-Types in the Central Nervous System Based on Single-Cell RNA Sequencing DataSemantic proximity Read

Improved integration of single-cell transcriptome data demonstrates common and unique signatures of heart failure in mice and humansSemantic proximity Read

Systematic cell-type resolved transcriptomes of 8 tissues in 8 lab and wild-derived mouse strains capture global and local expression variation.Semantic proximity Read

Tissueformer: extending single-cell foundation models to predict population-level phenotypes.Semantic proximity Read

Human to Mouse Cross-Species Transfer Learning forElectrophysiology-to-Transcriptomics Mapping in CorticalGABAergic InterneuronsSemantic proximity Read