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Leveraging gene correlations in single cell transcriptomic data

BMC Bioinformatics(2024)10.1186/s12859-024-05926-zSource: DataRank Database

Leveraging gene correlations in single cell transcriptomic data is a research paper published in BMC Bioinformatics (2024). On theSindex it has a DataRank of 0. It has been cited 7 times.

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Enrichment:Funding (9 grants)Impact (FWCI 1.15)OA: goldTopics (72)Linked Datasets (22)DataCite Reuse (22)IDs (PubMed, OpenAlex)

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Authors (6)

Emmanuel Dollinger ORCID,Joshua Gervin,Scott X. Atwood ORCID,Qing Nie ORCID,Arthur D. Lander ORCID

Live enrichment

PubMed:39294560 OpenAlex:https://openalex.org/W4402661591

National Institutes of Health

Grant: T32-GM136624

National Institutes of Health

Grant: CA217378

National Institutes of Health

Grant: AR075047

National Science Foundation, United States

Grant: 1763272

NSF-Simons Center for Multiscale Cell Fate Research

National Institutes of Health

Grant: 5R01DE019638-07

The role of continuous phenotypic variation in structural defects of the face

National Institutes of Health

Grant: 1R01GM075047-01

Preparative Chromatography of Biological Macromolecules

National Institutes of Health

Grant: 5T32GM136624-05

Mathematical, Computational and Systems Biology

National Institutes of Health

Grant: 5U54CA217378-05

Complexity, Cooperation and Community in Cancer

National Institutes of Health

Grant: 5P30AR075047-04

Skin Biology Resource-Based Center at UCI

FWCI

1.15

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.1186/s12859-024-05926-z.pdf

publisherhttps://link.springer.com/content/pdf/10.1186/s12859-024-05926-z.pdf

publisherhttps://link.springer.com/article/10.1186/s12859-024-05926-z/fulltext.html

journalhttps://doi.org/10.1186/s12859-024-05926-z

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39294560

Fields of Study

Single-cell and spatial transcriptomicsGene expression and cancer classificationGene Regulatory Network Analysis02 engineering and technology0206 medical engineering

MeSH Terms

AlgorithmsHumansSequence Analysis, RNAGene Expression ProfilingGene Regulatory NetworksSingle-Cell AnalysisTranscriptome

Keywords

Computer scienceDNA microarrayNoise (video)Data miningComputational biologyGround truthTranscriptomeGene expressionGeneBiologyArtificial intelligenceGenetics3102 Bioinformatics and Computational Biology (for-2020)gene regulatory networkgene co-expression networkMathematical Sciences31 Biological sciences (for-2020)46 Information and computing sciences (for-2020)Gene Regulatory NetworksSingle cell RNA sequencingBiology (General)MelanomaHumans (mesh)Biological Sciences49 Mathematical sciences (for-2020)06 Biological Sciences (for)Gene Regulatory Networks (mesh)RNA (mesh)Gene–gene correlationSingle-Cell AnalysisSequence AnalysisAlgorithms570BioinformaticsQH301-705.5Computer applications to medicine. Medical informaticsBioinformatics and Computational BiologyR858-859.761008 Information and Computing Sciences (for)ArticleGene-gene correlationInformation and Computing SciencesHumansAlgorithms (mesh)Genetics (rcdc)Sequence Analysis, RNAResearchGene Expression ProfilingHuman Genome500Transcriptome (mesh)Human Genome (rcdc)Gene Expression Profiling (mesh)3101 Biochemistry and Cell Biology (for-2020)Single-Cell Analysis (mesh)Bioinformatics (science-metrix)01 Mathematical Sciences (for)RNABiochemistry and Cell Biology

Additional file 2 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 2 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 3 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 3 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 4 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 4 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 5 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 5 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 6 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 6 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 7 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 7 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 8 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 8 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 9 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 9 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 10 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 10 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 11 of Leveraging gene correlations in single cell transcriptomic data

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Additional file 11 of Leveraging gene correlations in single cell transcriptomic data

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