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Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets

BMC Genomics(2024)10.1186/s12864-024-10364-5Source: DataRank Database

Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets is a research paper published in BMC Genomics (2024). On theSindex it has a DataRank of 0. It has been cited 28 times.

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Enrichment:Funding (8 grants)OA: goldTopics (57)Linked Datasets (8)DataCite Reuse (8)IDs (PubMed)

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Authors (3)

Haichao Wei ORCID,Jiaqian Wu ORCID,Raquel Cuevas‐Díaz Durán ORCID

Live enrichment

PubMed:38711017

National Institutes of Health

Grant: R01 NS088353

UTHSC Senator Lloyd Bentsen Stroke Center

Grant: Amy and Edward Knight Fund

Memorial Hermann Foundation

Grant: The Staman Ogilvie Fund

The Institute for Rehabilitation and Research Foundation

Grant: Mission Connect

National Institutes of Health

Grant: 5R01NS088353-03

Identifying Novel Molecular Targets for Chronic SCI

National Institutes of Health

Grant: 2RF1NS093652-06

ROLE OF TFEB IN TAUOPATHY

National Institutes of Health

Grant: 1R21NS113068-01A1

Delineating the Heterogeneity of Reactive Astrocytes in Spinal Cord Injury

NINDS NIH HHS

Grant: R21 NS113068

goldLicense: cc-by

publisherhttps://doi.org/10.1186/s12864-024-10364-5

publisherhttps://link.springer.com/content/pdf/10.1186/s12864-024-10364-5.pdf

publisherhttps://link.springer.com/article/10.1186/s12864-024-10364-5/fulltext.html

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11073985/pdf/12864_2024_Article_10364.pdf

repositoryhttps://doaj.org/article/800c8c876057415b8b89b387a4ff7357

Fields of Study

0301 basic medicine0206 medical engineering02 engineering and technology03 medical and health sciencesAnimalsHumansAlgorithmsGene Expression ProfilingRNA-SeqSequence Analysis, RNASingle-Cell AnalysisTranscriptomeDatasets as Topic

MeSH Terms

AnimalsHumansAlgorithmsGene Expression ProfilingRNA-SeqSequence Analysis, RNASingle-Cell AnalysisTranscriptomeDatasets as Topic

Keywords

Genetic ProcessesMedical SciencesBioinformatics610Datasets as TopicReviewQH426-470Biomedical Informatics510scRNA-seqMedical SpecialtiesMedicine and Health SciencesGeneticsand ImmunityAnimalsHumansRNA-SeqBiological PhenomenaSequence Analysis, RNACell PhenomenaGene Expression ProfilingTechnical variabilityNormalizationOncologySingle-cell sequencingRNABiological variabilityGenetic PhenomenaSingle-Cell AnalysisTranscriptomeSequence AnalysisMedical GeneticsTP248.13-248.65AlgorithmsBiotechnology

Additional file 4 of Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets

10.6084/m9.figshare.26994574.v1figshare

Additional file 3 of Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets

10.6084/m9.figshare.26994571.v1figshare

Additional file 4 of Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets

10.6084/m9.figshare.26994574figshare

Additional file 1 of Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets

10.6084/m9.figshare.26994565figshare

Additional file 2 of Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets

10.6084/m9.figshare.26994568.v1figshare

Additional file 2 of Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets

10.6084/m9.figshare.26994568figshare

Additional file 3 of Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets

10.6084/m9.figshare.26994571figshare

Additional file 1 of Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets

10.6084/m9.figshare.26994565.v1figshare