De Novo Identification and Visualization of Important Cell Populations for Classic Hodgkin Lymphoma Using Flow Cytometry and Machine Learning.
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| Title: | De Novo Identification and Visualization of Important Cell Populations for Classic Hodgkin Lymphoma Using Flow Cytometry and Machine Learning. |
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| Authors: | Simonson PD; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA., Wu Y; Department of Ophthalmology, University of Washington, Seattle, WA, USA., Wu D; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Fromm JR; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Lee AY; Department of Ophthalmology, University of Washington, Seattle, WA, USA. |
| Source: | American journal of clinical pathology [Am J Clin Pathol] 2021 Nov 08; Vol. 156 (6), pp. 1092-1102. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 0370470 Publication Model: Print Cited Medium: Internet ISSN: 1943-7722 (Electronic) Linking ISSN: 00029173 NLM ISO Abbreviation: Am J Clin Pathol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 34175918 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: De Novo Identification and Visualization of Important Cell Populations for Classic Hodgkin Lymphoma Using Flow Cytometry and Machine Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Simonson+PD%22">Simonson PD</searchLink>; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Wu+Y%22">Wu Y</searchLink>; Department of Ophthalmology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Wu+D%22">Wu D</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Fromm+JR%22">Fromm JR</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Lee+AY%22">Lee AY</searchLink>; Department of Ophthalmology, University of Washington, Seattle, WA, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220370470%22">American journal of clinical pathology</searchLink> [Am J Clin Pathol] 2021 Nov 08; Vol. 156 (6), pp. 1092-1102. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0370470 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1943-7722 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200029173%22">00029173 </searchLink><i>NLM ISO Abbreviation: </i>Am J Clin Pathol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34175918 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/ajcp/aqab076 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1092 Titles: – TitleFull: De Novo Identification and Visualization of Important Cell Populations for Classic Hodgkin Lymphoma Using Flow Cytometry and Machine Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Simonson PD – PersonEntity: Name: NameFull: Wu Y – PersonEntity: Name: NameFull: Wu D – PersonEntity: Name: NameFull: Fromm JR – PersonEntity: Name: NameFull: Lee AY IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 11 Text: 2021 Nov 08 Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 1943-7722 Numbering: – Type: volume Value: 156 – Type: issue Value: 6 Titles: – TitleFull: American journal of clinical pathology Type: main |
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