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PScL-2LSAESM: bioimage-based prediction of protein subcellular localization by integrating heterogeneous features with the two-level SAE-SM and mean ensemble method

Bioinformatics(2022)10.1093/bioinformatics/btac727Source: DataRank Database

PScL-2LSAESM: bioimage-based prediction of protein subcellular localization by integrating heterogeneous features with the two-level SAE-SM and mean ensemble method is a research paper published in Bioinformatics (2022). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Scored on demand from live citation data

Open Access5 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (17 grants)Impact (FWCI 1.21)OA: hybridTopics (31)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)

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Authors (4)

Fazal Hadi,Jiangning Song ORCID,Dong‐Jun Yu ORCID,Matee Ullah ORCID

Live enrichment

PubMed:36413068 PMC:PMC9947927 OpenAlex:https://openalex.org/W4309588161

National Natural Science Foundation of China

Grant: 62072243

National Natural Science Foundation of China

Grant: 61772273

Natural Science Foundation of Jiangsu

Grant: BK20201304

Fundamental Research Funds for the Central Universities

Grant: 30918011104

NHMRC

Grant: 1144652

Integrative systems pharmacology, neutron reflectometry and molecular dynamics approaches to unravelling the interactions between polymyxins and bacterial membranes

NHMRC

Grant: 1127948

An integrated virtual cell approach towards elucidating the systems pharmacology of antibiotics against Pseudomonas aeruginosa

Australian Research Council

Grant: LP110200333

Characterisation of plant cysteine proteases with therapeutic potential

Australian Research Council

Grant: DP120104460

Stochastic modelling of telomere length regulation in ageing research

National Institute of Allergy and Infectious Diseases of the National Institutes of Health

Grant: R01 AI111965

National Institutes of Health

Grant: 5R01AI111965-04

New Tricks for 'Old' Drugs: PK/PD of Polymyxin Nonantibiotic Combinations

NIH

Monash University

National Health and Medical Research Council of Australia

Major and Seed Inter-Disciplinary Research

National Health and Medical Research Council of Australia

Major and Seed Inter-Disciplinary Research

Monash University

FWCI

1.21

Citation Percentile

0.8%

Citation Trend

2023

2024

2025

hybridLicense: cc-by

journalhttps://academic.oup.com/bioinformatics/article-pdf/39/1/btac727/49313301/btac727.pdf

GREENhttps://academic.oup.com/bioinformatics/article-pdf/39/1/btac727/49313301/btac727.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/39/1/btac727/49313301/btac727.pdf

publisherhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btac727/47535452/btac727.pdf

journalhttps://doi.org/10.1093/bioinformatics/btac727

Fields of Study

Cell Image Analysis TechniquesMachine Learning in BioinformaticsDigital Imaging for Blood DiseasesComputer ScienceMedicineBiology0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technologyHumansProtein TransportComputational Biology

MeSH Terms

HumansComputational BiologyProtein Transport

Keywords

AutoencoderBenchmark (surveying)BenchmarkingComputer scienceFeature (linguistics)Artificial intelligenceSet (abstract data type)Pattern recognition (psychology)Data miningMachine learningArtificial neural networkOriginal PaperProtein TransportHumansComputational Biology

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions