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scDrug: From single-cell RNA-seq to drug response prediction

Computational and Structural Biotechnology Journal(2023)10.1016/j.csbj.2022.11.055Source: DataRank Database

scDrug: From single-cell RNA-seq to drug response prediction is a research paper published in Computational and Structural Biotechnology Journal (2023). On theSindex it has a DataRank of 1.3. It has been cited 50 times, with 43 citing works in its 1-hop citation network.

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1.3DataRank · unranked

Scored on demand from live citation data

50 citations · 43 citing works in its network

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Linked data & code

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 (4 grants)Impact (FWCI 4.62)OA: goldTopics (23)Linked Datasets (22)DataCite Reuse (22)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (0/2)

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 46%Citation Network 54%

Base Score Contribution

0.590

From this paper's citation signal

Citation Network Contribution

0.701

From 27 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 43 citers.

scMultiGAN: cell-specific imputation for single-cell transcriptomes with multiple deep generative adversarial networks
Briefings in Bioinformatics202330 citations48 referencesContributes 0.072
Interpreting single-cell and spatial omics data using deep neural network training dynamics
Nature Computational Science202416 citations43 referencesContributes 0.066
OmicVerse: a framework for bridging and deepening insights across bulk and single-cell sequencing
Nature Communications202482 citations70 referencesContributes 0.063
Single-cell transcriptomic analysis reveals tumor cell heterogeneity and immune microenvironment features of pituitary neuroendocrine tumors
Genome Medicine202442 citations62 referencesContributes 0.061
A review of computational methods for predicting cancer drug response at the single-cell level through integration with bulk RNAseq data
Current Opinion in Structural Biology202322 citations52 referencesContributes 0.060

Authors (7)

Jian-Hung Wen,Shih-Ming Lin,Tzu-Yang Tseng,Jia-Hsin Huang,Hsuan-Cheng Huang ORCID

Live enrichment

PubMed:36544472 PMC:PMC9747355 OpenAlex:https://openalex.org/W4311769361

Ministry of Science and Technology, Taiwan

Grant: MOST 111-2321-B-002-017

Ministry of Education

Grant: NTU-111L8808

Ministry of Education

Grant: NTU-CC-109L104702-2

Ministry of Education

Grant: NTU-CC-111L893302

FWCI

4.62

Citation Percentile

1.0%

Influential Citations

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.1016/j.csbj.2022.11.055

GOLDhttps://doi.org/10.1016/j.csbj.2022.11.055

publisherhttps://doi.org/10.1016/j.csbj.2022.11.055

publisherhttps://api.elsevier.com/content/article/PII:S2001037022005505?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2001037022005505?httpAccept=text/plain

Fields of Study

Single-cell and spatial transcriptomicsImmune cells in cancerCancer Genomics and DiagnosticsMedicineComputer Science

Keywords

Computational biologyWorkflowTranscriptomePipeline (software)Drug repositioningRNA-SeqIdentification (biology)Drug discoveryDrugBiologyComputer scienceBioinformaticsGeneGene expressionGeneticsDatabaseSingle-cell Rna-seqTumor Cell Subpopulations

Sustainable Development Goals

SDG 0: Good health and well-being

Additional file 1 of Single-cell transcriptomic analysis reveals tumor cell heterogeneity and immune microenvironment features of pituitary neuroendocrine tumors

10.6084/m9.figshare.24934025.v1figshare

Additional file 1 of Single-cell transcriptomic analysis reveals tumor cell heterogeneity and immune microenvironment features of pituitary neuroendocrine tumors

10.6084/m9.figshare.24934025figshare

Additional file 1 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.25448998.v1figshare

Additional file 1 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.25448998figshare

Additional file 1 of Predicting drug response from single-cell expression profiles of tumours

10.6084/m9.figshare.26648313.v1figshare

Additional file 1 of Predicting drug response from single-cell expression profiles of tumours

10.6084/m9.figshare.26648313figshare

Additional file 4 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.26695923.v1figshare

Additional file 6 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.26695929.v1figshare

Additional file 5 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.26695926.v1figshare

Additional file 7 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.26695932.v1figshare

Additional file 4 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.26695923figshare

Additional file 6 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.26695929figshare

Additional file 7 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.26695932figshare

Additional file 2 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.25449100figshare

Additional file 3 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.26695920figshare

Additional file 5 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.26695926figshare

Additional file 2 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.25449100.v1figshare

Additional file 3 of scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases

10.6084/m9.figshare.26695920.v1figshare

Additional file 2 of Single-cell transcriptomic analysis reveals tumor cell heterogeneity and immune microenvironment features of pituitary neuroendocrine tumors

10.6084/m9.figshare.24934605figshare

Additional file 2 of Single-cell transcriptomic analysis reveals tumor cell heterogeneity and immune microenvironment features of pituitary neuroendocrine tumors

10.6084/m9.figshare.24934605.v1figshare