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Graph algorithms for predicting subcellular localization at the pathway level

PubMed(2022)10.1142/9789811270611_0014Source: DataRank Database

Graph algorithms for predicting subcellular localization at the pathway level is a research paper published in PubMed (2022). On theSindex it has a DataRank of 0. It has been cited 4 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 3.12)OA: goldTopics (38)Linked Datasets (4)DataCite Reuse (4)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (2)

Anthony Gitter ORCID,Chris S. Magnano

Live enrichment

PubMed:36540972 PMC:PMC9817068 OpenAlex:https://openalex.org/W4309847893

NLM NIH HHS

Grant: T15 LM007359

National Institutes of Health

Grant: 3T15LM007359-06S2

Research Training for Computation and Informatics in Biology and Medicine

FWCI

3.12

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

goldLicense: cc-by-nc

https://doi.org/10.1142/9789811270611_0014

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36540972

repositoryhttp://arxiv.org/abs/2212.05991

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9817068

Fields of Study

Machine Learning in BioinformaticsBioinformatics and Genomic NetworksGenomics and Phylogenetic Studies0206 medical engineering02 engineering and technology

MeSH Terms

AlgorithmsHumansComputational BiologyDatabases, Protein

Keywords

Graphical modelComputer scienceSubcellular localizationProbabilistic logicDiscriminative modelProtein subcellular localization predictionBiological networkBiological dataBiological pathwayGraphContext (archaeology)Artificial intelligenceMachine learningComputational biologyTheoretical computer scienceBioinformaticsBiologyGraph Neural NetworkProbabilistic Graphical ModelSpatial ProteomicsFOS: Computer and information sciencesComputer Science - Machine LearningMolecular Networks (q-bio.MN)FOS: Biological sciencesHumansQuantitative Biology - Molecular NetworksDatabases, ProteinAlgorithmsMachine Learning (cs.LG)

Sustainable Development Goals

SDG 0: Reduced inequalities

Graph algorithms for predicting subcellular localization at the pathway level

10.48550/arxiv.2212.05991arXiv

gitter-lab/pathway-localization: Version 1.0

10.5281/zenodo.7439076Zenodo

gitter-lab/pathway-localization: Version 1.0

10.5281/zenodo.7140733Zenodo

gitter-lab/pathway-localization: Version 0.1

10.5281/zenodo.7140734Zenodo