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Density estimation for ordinal biological sequences and its applications

Physical review. E(2024)10.1103/physreve.110.044408Source: DataRank Database

Density estimation for ordinal biological sequences and its applications is a research paper published in Physical review. E (2024). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)Impact (FWCI 0.81)OA: greenTopics (43)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 (3)

Juannan Zhou ORCID,David M. McCandlish ORCID,Wei-Chia Chen ORCID

Live enrichment

PubMed:39562961 PMC:PMC11605730 OpenAlex:https://openalex.org/W4394948262

National Science and Technology Council

Grant: NSTC 111-2112-M-194-008-MY3

NCI NIH HHS

Grant: P30 CA045508

NIGMS NIH HHS

Grant: R35 GM133613

National Institutes of Health

Grant: 1R35GM133613-01

Computational analysis of complex genetic interactions

Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory

FWCI

0.81

Citation Percentile

0.7%

Citation Trend

2025

2026

greenLicense: APS Licenses for Journal Article Re-use

repositoryhttps://arxiv.org/pdf/2404.11228

publisherhttps://link.aps.org/article/10.1103/PhysRevE.110.044408

publisherhttp://harvest.aps.org/v2/journals/articles/10.1103/PhysRevE.110.044408/fulltext

repositoryhttp://arxiv.org/abs/2404.11228

Fields of Study

Genomics and Phylogenetic StudiesMachine Learning in BioinformaticsBioinformatics and Genomic Networks0206 medical engineering02 engineering and technologyBayes TheoremProbabilityGliomaHumansAneuploidyMachine Learning

MeSH Terms

HumansGliomaAneuploidyProbabilityBayes TheoremMachine Learning

Keywords

Computer scienceBiological dataBayes' theoremPrinciple of maximum entropyProbability distributionSequence (biology)Bayesian probabilityArtificial intelligenceTheoretical computer scienceMathematicsBiologyStatisticsBioinformaticsFOS: Physical sciencesBayes TheoremGliomaAneuploidyQuantitative Biology - Quantitative MethodsArticleMachine LearningBiological Physics (physics.bio-ph)FOS: Biological sciencesHumansPhysics - Biological PhysicsQuantitative Methods (q-bio.QM)Probability

Sustainable Development Goals

SDG 3: 3. Good health