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Volumn 87, Issue 7, 2015, Pages 591-593

State-of-the-Art in the Computational Analysis of Cytometry Data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BIOLOGY; CELL LINE; FLOW CYTOMETRY; HUMAN; PROCEDURES;

EID: 84932152347     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.22707     Document Type: Article
Times cited : (12)

References (6)
  • 3
    • 0022262848 scopus 로고
    • Automated identification of subpopulations in flow cytometric list mode data using cluster analysis
    • Murphy RF. Automated identification of subpopulations in flow cytometric list mode data using cluster analysis. Cytometry 1985;6:302-309.
    • (1985) Cytometry , vol.6 , pp. 302-309
    • Murphy, R.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.