Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Spatially Aware Dimension Reduction for Spatial Transcriptomics

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.19.476966Source: DataRank Database

Spatially Aware Dimension Reduction for Spatial Transcriptomics is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 13 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access13 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (38)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (2)

Xiang Zhou ORCID,Lulu Shang ORCID

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W4206951016

National Institutes of Health

Grant: 5R01GM126553-08

New directions in single cell genomics method development

National Institutes of Health

Grant: 5R01HG011883-04

Developing new computational tools for spatial transcriptomics data

National Institutes of Health

Grant: 5R01GM144960-02

DMS/NIGMS 2: Advanced Statistical Methods for Spatially Resolved Transcriptomics Studies

greenLicense: CC BY

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/01/21/2022.01.19.476966.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.01.19.476966

repositoryhttps://doi.org/10.1101/2022.01.19.476966

repositoryhttps://digitalcommons.library.tmc.edu/uthgsbs_docs/1999

Fields of Study

Single-cell and spatial transcriptomicsImmune cells in cancerImmune Response and Inflammation0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

TranscriptomeSpatial analysisInferenceComputer scienceComputational biologyDimensionality reductionBiologyArtificial intelligenceGeographyGeneGeneticsGene expressionCancer microenvironment570Medical SciencesGenomeTranscriptome/Statistical methodsBioinformaticsTumour heterogeneityScienceGene Expression ProfilingQArticleBiomedical InformaticsOncologyExome SequencingMedical SpecialtiesMedicine and Health SciencesTumor MicroenvironmentComputational modelsTranscriptomics