Article

Machine Learning Uncovers Vascular Endothelial Cell Identity Genes by Expression Regulation Features in Single Cells

2024-08-28

Abstract excerpt

Deciphering cell identity genes is pivotal to understanding cell differentiation, development, and many diseases involving cell identity dysregulation. Here, we introduce SCIG, a machine-learning method to uncover cell identity genes in single cells. In alignment with recent reports that cell identity genes are regulated with unique epigenetic signatures, we found cell identity genes exhibit distinctive genetic se...

Topics

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

Identifiers and source

Literature Corpus work: 6bf15ee3-7edc-5982-b983-f5ce83f54ab2
DOI: 10.1101/2024.08.27.609808

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine Learning Uncovers Vascular Endothelial Cell Identity Genes by Expression Regulation Features in Single CellsDOI 10.1101/2024.08.27.609808Read

Machine learning uncovers cell identity regulator by histone code.Semantic proximity Read

ANANSE: An enhancer network-based computational approach for predicting key transcription factors in cell fate determinationSemantic proximity Read

A geometric approach to characterize the functional identity of single cells.Semantic proximity Read

Deciphering the Origin and Plasticity of Circulating Endothelial Cells: A Model for Systemic Angiogenesis Programs in Health and DiseaseSemantic proximity Read

Multimodal analysis of <i>in vitro</i> hematopoiesis reveals blood cell-specific genetic impacts on complex disease traitsSemantic proximity Read

Complexity of enhancer networks predicts cell identity and disease genes revealed by single-cell multi-omics analysisSemantic proximity Read

Feature extraction approach in single-cell gene expression profiling for cell-type marker identificationSemantic proximity Read

CellMapper: rapid and accurate inference of gene expression in difficult-to-isolate cell types.Semantic proximity Read

Gene-First Identity Construction for Robust Cell Identification in Single-Cell TranscriptomicsSemantic proximity Read

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

Graph-based tracing of dynamically functioning gene circuits in cell fate decisions with isoform resolutionSemantic proximity Read

Deciphering epigenomic code for cell differentiation using deep learningSemantic proximity Read