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A cell-level discriminative neural network model for diagnosis of blood cancers

Bioinformatics(2023)10.1093/bioinformatics/btad585Source: DataRank Database

A cell-level discriminative neural network model for diagnosis of blood cancers is a research paper published in Bioinformatics (2023). On theSindex it has a DataRank of 0. It has been cited 9 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access9 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.96)OA: goldTopics (40)IDs (PubMed, PMC, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Jin Ye ORCID,Padhraic Smyth ORCID,Richard H. Scheuermann ORCID,Jack D. Bui ORCID,Huan‐You Wang ORCID

Live enrichment

PubMed:37756695 PMC:PMC10563151 OpenAlex:https://openalex.org/W4387113587

FlowGate project

Grant: NCATS U01TR001801

NCATS NIH HHS

Grant: UL1 TR001414

NCATS NIH HHS

Grant: U01 TR001801

National Institutes of Health

Grant: 5U01TR001801-05

Transformative Computational Infrastructures for Cell-Based Biomarker Diagnostics

U.S. National Institutes of Health and an Investigator

FWCI

0.96

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad585/51770591/btad585.pdf

publisherhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad585/51770591/btad585.pdf

journalhttps://doi.org/10.1093/bioinformatics/btad585

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37756695

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10563151

Fields of Study

Digital Imaging for Blood DiseasesAI in cancer detectionCell Image Analysis Techniques0301 basic medicine0303 health sciences03 medical and health sciencesHumansNeural Networks, ComputerNeoplasmsFlow CytometrySoftwareHematologic Neoplasms

MeSH Terms

Flow CytometryHumansNeoplasmsSoftwareNeural Networks, ComputerHematologic Neoplasms

Keywords

Computer scienceArtificial intelligenceArtificial neural networkMachine learningDiscriminative modelMedical diagnosisCancerSource codeIdentification (biology)Data miningPattern recognition (psychology)MedicinePathologyBiologyInternal medicineOriginal PaperNeoplasmsHematologic NeoplasmsHumansNeural Networks, ComputerFlow CytometrySoftware

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Reduced inequalities