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Deep Learning Based Models for CRISPR/Cas Off‐Target Prediction

Small Methods(2025)10.1002/smtd.202500122Source: DataRank Database

Deep Learning Based Models for CRISPR/Cas Off‐Target Prediction is a research paper published in Small Methods (2025). On theSindex it has a DataRank of 0. It has been cited 9 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access9 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)Impact (FWCI 3.97)OA: bronzeTopics (20)IDs (PubMed, PMC, OpenAlex)Annotations (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 (5)

Alexander Brennan,Ciaran M. Lee ORCID,So‐Hyun Park ORCID,Gang Bao ORCID,Mingming Cao ORCID

Live enrichment

PubMed:40468633 PMC:PMC12286732 OpenAlex:https://openalex.org/W4411073339

Cancer Prevention and Research Institute of Texas

Grant: RP210116

National Human Genome Research Institute

Grant: R01HG011459

National Heart, Lung, and Blood Institute

Grant: R01HL169761

FWCI

3.97

Citation Percentile

0.9%

Citation Trend

2025

2026

bronzeLicense: http://onlinelibrary.wiley.com/termsAndConditions#vor

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/smtd.202500122

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/smtd.202500122

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/smtd.202500122

journalhttps://doi.org/10.1002/smtd.202500122

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40468633

Fields of Study

CRISPR and Genetic EngineeringAdvanced biosensing and bioanalysis techniquesPlant Virus Research Studies

MeSH Terms

Gene EditingDeep LearningHumansCRISPR-Cas Systems

Keywords

CRISPRComputer scienceDeep learningSAFERRobustness (evolution)Artificial intelligenceMachine learningBiologyGeneGene EditingCrispr/casDeep Learning ModelOff‐target Sites

Deep Learning Based Models for CRISPR/Cas Off‐Target Prediction

FAIR Checklist

Authors (5)

Funding (3 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)