CLUEY enables knowledge-guided clustering and cell type detection from single-cell omics data

Authors

Daniel Kim (ORCID: https://orcid.org/0000-0003-3683-777X)
Carissa Chen (ORCID: https://orcid.org/0000-0002-9225-7086)
Jean Yang (ORCID: https://orcid.org/0000-0002-5271-2603)
Lijia Yu (ORCID: https://orcid.org/0000-0001-6735-9569)
Pengyi Yang (ORCID: https://orcid.org/0009-0008-5705-2238)

Institutions

University of Technology Sydney (AU)
The University of Sydney (AU)
Children's Medical Research Institute (AU)

Publication Details

Journal: Bioinformatics
Published: 2025-09-22
DOI: https://doi.org/10.1093/bioinformatics/btaf528
Primary Topic: Single-cell and spatial transcriptomics
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

CLUEY enables knowledge-guided clustering and cell type detection from single-cell omics data

Daniel Kim, Carissa Chen, Jean Yang, Lijia Yu et al.

Sep 22, 2025

Bioinformatics

Single-cell and spatial transcriptomics

article

CLUEY enables knowledge-guided clustering and cell type detection from single-cell omics data

Daniel Kim, Carissa Chen, Jean Yang, Lijia Yu, Pengyi Yang

September 22, 2025article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(10)

University of Technology Sydney (AU), The University of Sydney (AU), Children's Medical Research Institute (AU)

Openalex Percentile: Top 77%

Single-cell and spatial transcriptomics

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.