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CINmetrics: an R package for analyzing copy number aberrations as a measure of chromosomal instability

PeerJ(2023)10.7717/peerj.15244Source: DataRank Database

CINmetrics: an R package for analyzing copy number aberrations as a measure of chromosomal instability is a research paper published in PeerJ (2023). On theSindex it has a DataRank of 0. It has been cited 15 times.

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Open Access15 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)Impact (FWCI 3.67)OA: goldTopics (30)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)

Jennifer L. Fisher ORCID,Roshan Darji,Brittany N. Lasseigne ORCID,Vishal H. Oza ORCID

Live enrichment

PubMed:37123011 PMC:PMC10143595 OpenAlex:https://openalex.org/W4366988611

NIDDK NIH HHS

Grant: U54 DK126087

NIH HHS

Grant: U54 OD030167

NHGRI NIH HHS

Grant: R00 HG009678

FWCI

3.67

Citation Percentile

0.9%

Citation Trend

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.7717/peerj.15244

publisherhttps://doi.org/10.7717/peerj.15244

publisherhttps://peerj.com/articles/15244.pdf

publisherhttps://peerj.com/articles/15244.xml

publisherhttps://peerj.com/articles/15244.html

Fields of Study

Genomic variations and chromosomal abnormalitiesGene expression and cancer classificationGenomics and Chromatin Dynamics

MeSH Terms

HumansNeoplasmsGenomic InstabilityChromosomal InstabilityDNA Copy Number Variations

Keywords

Genome instabilityChromosome instabilityInstabilityR packageComputational biologyComputer scienceMeasure (data warehouse)Comparative genomic hybridizationBiologyGenomeGeneticsChromosomeData miningGeneDNAPhysicsComputational scienceCancerGenomic instabilityChromosomal InstabilityCopy Number AberrationCinmetrics

Sustainable Development Goals

SDG 0: Good health and well-being