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Assessment of attribution algorithms for resolving CIN3-related HPV genotype prevalence in mixed-genotype biopsy specimens using laser capture microdissection as the reference standard.

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Title: Assessment of attribution algorithms for resolving CIN3-related HPV genotype prevalence in mixed-genotype biopsy specimens using laser capture microdissection as the reference standard.
Authors: Cornall, Alyssa M.1,2,3 (AUTHOR) Alyssa.Cornall@mcri.edu.au, Brotherton, Julia M.L.4,5 (AUTHOR) jbrother@vcs.org.au, Callegari, Emma T.6 (AUTHOR), Tan, Fiona H.1,7 (AUTHOR) fiona.tan@petermac.org, Saville, Marion3,8 (AUTHOR) msaville@vcs.org.au, Pyman, Jan9 (AUTHOR) Jan.Pyman@thewomens.org.au, Phillips, Samuel1,2,3 (AUTHOR), Malloy, Michael J.4,5 (AUTHOR), Tabrizi, Sepehr N.1,2,3 (AUTHOR) Sepehr.Tabrizi@thewomens.org.au, Garland, Suzanne M.1,3 (AUTHOR) Suzanne.Garland@thewomens.org.au
Source: Vaccine. Sep2020, Vol. 38 Issue 40, p6312-6319. 8p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 145406977
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Assessment of attribution algorithms for resolving CIN3-related HPV genotype prevalence in mixed-genotype biopsy specimens using laser capture microdissection as the reference standard.
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  Data: <searchLink fieldCode="JN" term="%22Vaccine%22">Vaccine</searchLink>. Sep2020, Vol. 38 Issue 40, p6312-6319. 8p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=145406977
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        Value: 10.1016/j.vaccine.2020.07.036
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        Text: English
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      – TitleFull: Assessment of attribution algorithms for resolving CIN3-related HPV genotype prevalence in mixed-genotype biopsy specimens using laser capture microdissection as the reference standard.
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              Text: Sep2020
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