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A comprehensive comparison on clustering methods for multi-slice spatially resolved transcriptomics data analysis

Briefings in Bioinformatics(2025)10.1093/bib/bbaf471Source: DataRank Database

A comprehensive comparison on clustering methods for multi-slice spatially resolved transcriptomics data analysis is a research paper published in Briefings in Bioinformatics (2025). On theSindex it has a DataRank of 0.

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Enrichment:Funding (5 grants)Impact (FWCI 0.00)OA: goldTopics (28)IDs (PubMed, PMC, OpenAlex)Annotations (1)

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Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (9)

Shuai Huang ORCID,Muqing Zhou ORCID,Yiyan Zhang ORCID,Wenrong Wu,Xihao Li ORCID

Live enrichment

PubMed:40966657 PMC:PMC12449087 OpenAlex:https://openalex.org/W4414371618

National Institutes of Health

Grant: R01AG085581

National Institutes of Health

Grant: R01AG079291

Department of Defense Breast Cancer Research Program

Grant: # HT9425-23-1-0961

National Institutes of Health

Grant: 1R01AG085581-01

Construction and Application of Comprehensive Knowledge Graphs for Alzheimer's Disease

National Institutes of Health

Grant: 5R01AG079291-03

Study of Selective Cell and System Vulnerability in Alzheimer's Disease

FWCI

0.00

Citation Percentile

0.2%

goldLicense: cc-by-nc

journalhttps://doi.org/10.1093/bib/bbaf471

publisherhttps://doi.org/10.1093/bib/bbaf471

publisherhttps://academic.oup.com/bib/article-pdf/26/5/bbaf471/64315609/bbaf471.pdf

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40966657

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12449087

Fields of Study

Gene expression and cancer classification0206 medical engineering02 engineering and technology

MeSH Terms

AlgorithmsHumansCluster AnalysisComputational BiologyGene Expression ProfilingTranscriptome

Keywords

Cluster analysisPreprocessorSpatial analysisConsensus clusteringPattern recognition (psychology)Clustering high-dimensional dataSelection (genetic algorithm)Data pre-processingDomain (mathematical analysis)EvaluationClusteringSpatial TranscriptomicsMulti-slice ClusteringGene Expression ProfilingHumansComputational BiologyReviewTranscriptomeAlgorithms

A comprehensive comparison on clustering methods for multi-slice spatially resolved transcriptomics data analysis

FAIR Checklist

Authors (9)

Funding (5 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)