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Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique

STAR Protocols(2024)10.1016/j.xpro.2024.103066Source: DataRank Database

Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique is a research paper published in STAR Protocols (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (14 grants)Impact (FWCI 0.16)OA: goldTopics (39)IDs (PubMed, PMC, OpenAlex)Annotations (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Hao Zhang ORCID,Zilong Bai ORCID,Dylan Mann‐Krzisnik ORCID,Fei Wang ORCID,Yue Li ORCID

Live enrichment

PubMed:38748882 PMC:PMC11109308 OpenAlex:https://openalex.org/W4396885250

National Science Foundation

Grant: 1750326

CAREER: Interpretable Deep Modeling of Discrete Time Event Sequences

National Science Foundation

Grant: 2212175

Collaborative Research: III: Medium: A consolidated framework of computational privacy and machine learning

NSERC

Grant: DGECR-2019-00253

NSERC

Grant: ALLRP 576153-22

National Institutes of Health

Grant: R01AG076448

National Institutes of Health

Grant: RF1AG072449

National Institutes of Health

Grant: RF1AG084178

National Institutes of Health

Grant: R01AG076234

NIA NIH HHS

Grant: R01 AG072449

Natural Sciences and Engineering Research Council of Canada

Grant: unidentified

unidentified

National Institutes of Health

Grant: 1RF1AG084178-01

Post-Acute Sequelae of SARS-CoV-2 Infection and Subsequent Disease Progression in Individuals with AD/ADRD: Influence of the Social and Environmental Determinants of Health

National Institutes of Health

Grant: 5R01AG076448-03

TREM2 Genotype-Informed Drug Repurposing and Combination Therapy Design for Alzheimers Disease

National Institutes of Health

Grant: 5R01AG076234-03

Computational Drug Repurposing for AD/ADRD with Integrative Analysis of Real World Data and Biomedical Knowledge

National Institutes of Health

Grant: 3RF1AG072449-01S1

Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior Markers

FWCI

0.16

Citation Percentile

0.5%

Citation Trend

2026

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.xpro.2024.103066

publisherhttps://doi.org/10.1016/j.xpro.2024.103066

publisherhttps://api.elsevier.com/content/article/PII:S2666166724002314?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666166724002314?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38748882

Fields of Study

Single-cell and spatial transcriptomicsBioinformatics and Genomic NetworksGene Regulatory Network Analysis0301 basic medicine0206 medical engineering02 engineering and technology03 medical and health sciencesDeep LearningSingle-Cell AnalysisHumansComputational Biology

MeSH Terms

Deep LearningHumansComputational BiologySingle-Cell Analysis

Keywords

Computer scienceProtocol (science)Leverage (statistics)PreprocessorOmicsDeep learningArtificial intelligenceData pre-processingImputation (statistics)Machine learningData miningComputational biologyBioinformaticsMissing dataBiologyMedicineSingle cellGenomicsComputer SciencesScience (General)Q1-390ProtocolHumansSingle-Cell Analysis

Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique

FAIR Checklist

Authors (6)

Funding (14 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)