Human against Machine? Machine Learning Identifies MicroRNA Ratios as Biomarkers for Melanoma.
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| Title: | Human against Machine? Machine Learning Identifies MicroRNA Ratios as Biomarkers for Melanoma. |
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| Authors: | Shellman MH; Georgia Institute of Technology, H. Milton Stewart School of Industrial and Systems Engineering, Atlanta, Georgia., Shellman YG; University of Colorado Anschutz Medical Campus, School of Medicine, Department of Dermatology, Aurora, Colorado; University of Colorado Anschutz Medical Campus, Gates Center for Regenerative Medicine, Aurora, Colorado. Electronic address: Yiqun.Shellman@CUAnschutz.edu. |
| Source: | The Journal of investigative dermatology [J Invest Dermatol] 2020 Jan; Vol. 140 (1), pp. 18-20. |
| Publication Type: | Journal Article; Comment |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 0426720 Publication Model: Print Cited Medium: Internet ISSN: 1523-1747 (Electronic) Linking ISSN: 0022202X NLM ISO Abbreviation: J Invest Dermatol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 31864430 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Human against Machine? Machine Learning Identifies MicroRNA Ratios as Biomarkers for Melanoma. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Shellman+MH%22">Shellman MH</searchLink>; Georgia Institute of Technology, H. Milton Stewart School of Industrial and Systems Engineering, Atlanta, Georgia.<br /><searchLink fieldCode="AU" term="%22Shellman+YG%22">Shellman YG</searchLink>; University of Colorado Anschutz Medical Campus, School of Medicine, Department of Dermatology, Aurora, Colorado; University of Colorado Anschutz Medical Campus, Gates Center for Regenerative Medicine, Aurora, Colorado. Electronic address: Yiqun.Shellman@CUAnschutz.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220426720%22">The Journal of investigative dermatology</searchLink> [J Invest Dermatol] 2020 Jan; Vol. 140 (1), pp. 18-20. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comment – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0426720 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1523-1747 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220022202X%22">0022202X </searchLink><i>NLM ISO Abbreviation: </i>J Invest Dermatol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=31864430 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jid.2019.07.688 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 18 Titles: – TitleFull: Human against Machine? Machine Learning Identifies MicroRNA Ratios as Biomarkers for Melanoma. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shellman MH – PersonEntity: Name: NameFull: Shellman YG IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2020 Jan Type: published Y: 2020 Identifiers: – Type: issn-electronic Value: 1523-1747 Numbering: – Type: volume Value: 140 – Type: issue Value: 1 Titles: – TitleFull: The Journal of investigative dermatology Type: main |
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