A Cancer Biologist's Primer on Machine Learning Applications in High‐Dimensional Cytometry

• Published in: Cytometry. Part A Vol. 97; no. 8; pp. 782 - 799
• Main Authors: Keyes, Timothy J., Domizi, Pablo, Lo, Yu‐Chen, Nolan, Garry P., Davis, Kara L.
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.08.2020; Wiley Subscription Services, Inc
• Subjects: Artificial intelligence; Bioinformatics; Biologists; Cancer; computational cytometry; Cytometry; Data analysis; Data science; Learning algorithms; Machine learning; mass cytometry; cancer; computational cytometry; mass cytometry; data science; machine learning

The application of machine learning and artificial intelligence to high‐dimensional cytometry data sets has increasingly become a staple of bioinformatic data analysis over the past decade. This is especially true in the field of cancer biology, where protocols for collecting multiparameter single‐c...