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Principled and interpretable alignability testing and integration of single-cell data

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2313719121Source: DataRank Database

Principled and interpretable alignability testing and integration of single-cell data is a research paper published in Proceedings of the National Academy of Sciences (2024). On theSindex it has a DataRank of 0. It has been cited 22 times.

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Open Access22 citations

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Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data · arXiv

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 3.59)OA: hybridTopics (36)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (4)

Eric Sun ORCID,David L. Donoho ORCID,James Zou ORCID,Rong Ma ORCID

Live enrichment

PubMed:38416677 PMC:PMC10927515 OpenAlex:https://openalex.org/W4392242857

National Science Foundation

Grant: 1942926

CAREER: Enabling data valuation and deletion in human-centered machine learning

HHS | National Institutes of Health

Grant: P30AG059307

HHS | National Institutes of Health

Grant: 5RM1HG010023

NHGRI NIH HHS

Grant: RM1 HG010023

National Institutes of Health

Grant: 5P30AG059307-03

Stanford Aging & Ethnogeriatrics Transdisciplinary Collaborative Center (SAGE)

National Institutes of Health

Grant: 5RM1HG010023-05

Center for Sub-Cellular Genomics

FWCI

3.59

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

hybridLicense: cc-by-nc-nd

journalhttps://doi.org/10.1073/pnas.2313719121

publisherhttps://doi.org/10.1073/pnas.2313719121

publisherhttps://pnas.org/doi/pdf/10.1073/pnas.2313719121

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38416677

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10927515

Fields of Study

Single-cell and spatial transcriptomicsGene expression and cancer classificationCell Image Analysis Techniques0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technology

MeSH Terms

AlgorithmsGene ExpressionGene Expression ProfilingSingle-Cell Analysis

Keywords

InterpretabilityComputer scienceInferenceData miningData integrationIdentification (biology)Benchmark (surveying)Imputation (statistics)Statistical hypothesis testingMachine learningArtificial intelligenceComputational biologyMissing dataBiologyMathematicsProcrustes AnalysisRandom Matrix TheorySpectral MethodData AlignmentSingle-cell OmicsGene Expression ProfilingPhysical SciencesGene ExpressionSingle-Cell AnalysisAlgorithms

Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data

10.48550/arxiv.2308.01839arXiv

Principled and interpretable alignability testing and integration of single-cell data

FAIR Checklist

Authors (4)

Funding (6 grants)

Impact

Open Access

Topics

Linked Datasets (1)

Annotations (Europe PMC)