Label-free macrophage phenotype classification using machine learning methods.

Hourani, Tetiana; Perez-Gonzalez, Alexis; Khoshmanesh, Khashayar; Luwor, Rodney; Achuthan, Adrian A; Baratchi, Sara; O'Brien-Simpson, Neil M; Al-Hourani, Akram

Hourani, Tetiana; Perez-Gonzalez, Alexis; Khoshmanesh, Khashayar; Luwor, Rodney; Achuthan, Adrian A; Baratchi, Sara; O'Brien-Simpson, Neil M; Al-Hourani, Akram.

Afiliação

Hourani T; Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, 3050, Australia.
Perez-Gonzalez A; Melbourne Cytometry Platform, Department of Microbiology and Immunology, The University of Melbourne, at The Peter Doherty Institute of Infection and Immunity, Parkville, VIC, 3010, Australia.
Khoshmanesh K; School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
Luwor R; Department of Surgery, Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, 3050, Australia.
Achuthan AA; Fiona Elsey Cancer Research Institute, Ballarat, Victoria, 3350, Australia.
Baratchi S; Federation University Australia, Ballarat, Victoria, 3350, Australia.
O'Brien-Simpson NM; Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, 3050, Australia.
Al-Hourani A; School of Health & Biomedical Sciences, RMIT University, Bundoora, Victoria, 3083, Australia.

Sci Rep ; 13(1): 5202, 2023 03 30.

Article em En | MEDLINE | ID: mdl-36997576

Assuntos

Aprendizado de Máquina; Macrófagos; Macrófagos/metabolismo; Fenótipo

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Macrófagos Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália País de publicação: Reino Unido

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