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Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species

PLoS Computational Biology(2020)10.1371/journal.pcbi.1008297Source: DataRank Database

Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species is a research paper published in PLoS Computational Biology (2020). On theSindex it has a DataRank of 0.855. It has been cited 12 times, with 12 citing works in its 1-hop citation network.

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0.855DataRank · unranked

Scored on demand from live citation data

Open Access12 citations · 12 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (16 grants)Impact (FWCI 0.75)OA: goldTopics (45)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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DataRank Breakdown

Base Score 45%Citation Network 55%

Base Score Contribution

0.385

From this paper's citation signal

Citation Network Contribution

0.471

From 12 citing papers with measurable signal

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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 12 citers.

COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants
Briefings in Functional Genomics20226 citations16 referencesContributes 0.122
Analyzing review sentiments and product images by parallel deep nets for personalized recommendation
Information Processing & Management202241 citations33 referencesContributes 0.113
Context-Aware Poly(A) Signal Prediction Model via Deep Spatial–Temporal Neural Networks
IEEE Transactions on Neural Networks and Learning Systems2022111 citations43 referencesContributes 0.110
Cross-cultivar prediction of quality indicators of tea based on VIS-NIR hyperspectral imaging
Industrial Crops and Products202332 citations55 referencesContributes 0.064
Context-aware dynamic neural computational models for accurate Poly(A) signal prediction
Neural Networks202210 citations63 referencesContributes 0.038

Authors (6)

Haohan Wang ORCID,Yang Zhang ORCID,Xin Gao ORCID,Eric P. Xing ORCID,Min Xu ORCID

Live enrichment

PubMed:33151940 PMC:PMC7671507 OpenAlex:https://openalex.org/W3097163414

King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research

Grant: URF/1/2602-01

National Institutes of Health

Grant: P41 GM103712

King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research

Grant: URF/1/3007-01

National Institutes of Health

Grant: R01GM134020

National Science Foundation

Grant: DBI-1949629

National Science Foundation

Grant: IIS-2007595

NIDA NIH HHS

Grant: P30 DA035778

NIGMS NIH HHS

Grant: R01 GM140467

NIGMS NIH HHS

Grant: R01 GM093156

National Institutes of Health

Grant: 1F32GM013039-01

MOLECULAR ANALYSIS OF THE YEAST HEAT SHOCK TRANSCRIPTION

National Science Foundation

Grant: 1949629

IIBR Informatics: Reducing the training data annotation cost for learning-based macromolecule identification in cellular electron cryo-tomography

National Institutes of Health

Grant: 5P30DA035778-03

NIDA Center of Excellence OF Computational Drug Abuse Research (CDAR)

National Institutes of Health

Grant: 1R01GM134020-01A1

Novel machine learning approaches for improving structural discrimination in cryo-electron tomography

National Institutes of Health

Grant: 5R01GM093156-03

Time/Space-Varying Networks of Molecular Interactions: A New Paradigm for Studyin

National Science Foundation

Grant: 2007595

III: Small: Improving automation and speed of macromolecule recognition and localization in cryo-electron tomography using unsupervised deep learning

National Institutes of Health

Grant: 5P41GM103712-08

High Performance Computing for Multiscale Modeling of Biological Systems

FWCI

0.75

Citation Percentile

0.7%

Citation Trend

2022

2023

2024

goldLicense: cc-by

journalhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008297&type=printable

publisherhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008297&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1008297

journalhttps://doi.org/10.1371/journal.pcbi.1008297

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33151940

Fields of Study

RNA and protein synthesis mechanismsRNA Research and SplicingRNA modifications and cancer0301 basic medicine0206 medical engineering02 engineering and technology03 medical and health sciences

MeSH Terms

Deep LearningAnimalsDeoxyguanosineHumansPoly ASpecies SpecificitySignal TransductionNeural Networks, Computer

Keywords

Computer scienceArtificial intelligenceGeneralizationConvolutional neural networkMachine learningPolyadenylationTest setIdentification (biology)Artificial neural networkDeep learningTest dataSIGNAL (programming language)Translation (biology)Computational biologyPattern recognition (psychology)BiologyBiochemistryMessenger RNAMathematicsEcologyQH301-705.5DeoxyguanosineSpecies SpecificityAnimalsHumansNeural Networks, ComputerBiology (General)Poly AResearch ArticleSignal Transduction

Sustainable Development Goals

SDG 0: Life in Land