EurekAlert!

Accurate cell type annotation for single-cell chromatin accessibility data via contrastive learning and reference guidance

Chromatin accessibility, a fundamental property of DNA that plays a critical role in gene regulation and cell identity, refers to the degree that nuclear macromolecules can access and interact with ...
EurekAlert!

MultiKano: an automatic cell type annotation tool for single-cell multi-omics data based on Kolmogorov-Arnold network and data augmentation

MultiKano is the first automatic cell type annotation method tailored to single-cell multi-omics data. MultiKano introduces a novel data augmentation strategy based on paired scRNA-seq and scATAC-seq ...
Nature

The impacts of active and self-supervised learning on efficient annotation of single-cell expression data

Single-cell expression profiling technologies have revolutionized our understanding of healthy and diseased tissue. For example, methods that quantify gene expression such as single-cell ...
Nature

Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease

Single-cell technologies offer a unique opportunity to explore cellular heterogeneity in health and disease. However, reliable identification of cell types and states represents a bottleneck.
Phys.org

GPT-4 for identifying cell types in single cells matches and sometimes outperforms expert methods

GPT-4 can accurately interpret types of cells important for the analysis of single-cell RNA sequencing—a sequencing process fundamental to interpreting cell types—with high consistency to that of time ...
News Medical

GPT-4 shows expert-level accuracy in annotating cell types

Columbia University's Mailman School of Public HealthMar 26 2024 GPT-4 can accurately interpret types of cells important for the analysis of single-cell RNA sequencing -- a sequencing process ...