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

Enhanced and Interpretable Prediction of Multiple Cancer Types Using a Stacking Ensemble Approach with SHAP Analysis

Bioengineering(2025)10.3390/bioengineering12050472Source: DataRank Database

Enhanced and Interpretable Prediction of Multiple Cancer Types Using a Stacking Ensemble Approach with SHAP Analysis is a research paper published in Bioengineering (2025). On theSindex it has a DataRank of 0. It has been cited 16 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access16 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 (4 grants)Impact (FWCI 20.23)OA: goldTopics (27)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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 (3)

Pijush Kanti Dutta Pramanik ORCID,Zhongming Zhao ORCID,Shahid Mohammad Ganie ORCID

Live enrichment

PubMed:40428091 PMC:PMC12108849 OpenAlex:https://openalex.org/W4409964591

Cancer Genomics Core

Grant: RP240610

Cancer Genomics Core

Grant: R01LM012806

National Institutes of Health

Grant: 1R01LM012806-01

Predicting Phenotype by Using Transcriptomic Alteration as Endophenotype

Fundação para a Ciência e a Tecnologia, I.P.

Grant: PTDC/CCI-BIO/29266/2017

Deep Drug Discovery and Deployment

FWCI

20.23

Citation Percentile

1.0%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://www.mdpi.com/2306-5354/12/5/472/pdf?version=1746003611

publisherhttps://www.mdpi.com/2306-5354/12/5/472/pdf?version=1746003611

publisherhttps://www.mdpi.com/2306-5354/12/5/472/pdf

journalhttps://doi.org/10.3390/bioengineering12050472

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40428091

Fields of Study

AI in cancer detectionArtificial Intelligence in HealthcareBiomedical Text Mining and Ontologies02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

InterpretabilityLung cancerBreast cancerCancerArtificial intelligenceCervical cancerMedicineCancer screeningEnsemble learningComputer scienceMachine learningOncologyInternal medicineStackingCancer PredictionShapXaiTechnologyQH301-705.5TArticleBiology (General)

Sustainable Development Goals

SDG 0: Good health and well-being