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Volumn 89, Issue 1, 2016, Pages 16-21

A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes

(23)  Aghaeepour, Nima a,b,c   Chattopadhyay, Pratip d   Chikina, Maria e   Dhaene, Tom f   Van Gassen, Sofie f,g,h   Kursa, Miron i   Lambrecht, Bart N g,h   Malek, Mehrnoush a   Mclachlan, G J j   Qian, Yu k   Qiu, Peng l   Saeys, Yvan g,h   Stanton, Rick k   Tong, Dong m,n   Vens, Celine g,h,o   Walkowiak, Slawomir i   Wang, Kui j,p   Finak, Greg q   Gottardo, Raphael q   Mosmann, Tim r   more..


Author keywords

Bioinformatics; Classification; Clinical outcome; Clustering; Data analysis; Flow cytometry; HIV; Supervised analysis

Indexed keywords

ACQUIRED IMMUNODEFICIENCY SYNDROME; ALGORITHM; BENCHMARKING; BIOLOGY; CYTOLOGY; DISEASE COURSE; FLOW CYTOMETRY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; PATHOLOGY; PROCEDURES; STAINING; STATISTICAL ANALYSIS; T LYMPHOCYTE;

EID: 84957081995     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.22732     Document Type: Article
Times cited : (57)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.