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Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data

Patterns(2023)10.1016/j.patter.2023.100840Source: DataRank Database

Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data is a research paper published in Patterns (2023). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Enrichment:Funding (6 grants)OA: goldTopics (13)IDs (PubMed, PMC)

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Authors (2)

Lei Xing ORCID,Md Tauhidul Islam ORCID

Live enrichment

PubMed:37876896 PMC:PMC10591141

National Institutes of Health

Grant: 1R01 CA223667

National Institutes of Health

Grant: R01CA227713

NCI NIH HHS

Grant: R01 CA223667

National Institutes of Health

Grant: 5R01CA227713-04

Dual Modality X-ray Luminescence CT for in vivo Cancer Imaging

National Institutes of Health

Grant: 5R01CA223667-02

Radioluminescence dosimetry solution for precision radiation therapy

Google Inc

goldLicense: cc-by-nc-nd

publisherhttps://doi.org/10.1016/j.patter.2023.100840

publisherhttps://api.elsevier.com/content/article/PII:S2666389923002192?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666389923002192?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10591141

Europe_PMChttps://europepmc.org/articles/PMC10591141

Fields of Study

0206 medical engineering02 engineering and technology

Keywords

Single cellBioinformaticsClusteringGenomicsVisualizationGene ExpressionTrajectoryDimensionality ReductionScrna-seqSpatial TranscriptomicsArticle