Deep learning-based classification of breast cancer cells using transmembrane receptor dynamics

Abstract Motivation Motions of transmembrane receptors on cancer cell surfaces can reveal biophysical features of the cancer cells, thus providing a method for characterizing cancer cell phenotypes. While conventional analysis of receptor motions in the cell membrane mostly relies on the mean-square...

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Veröffentlicht in:	Bioinformatics 2021-12, Vol.38 (1), p.243-249
Hauptverfasser:	Kim, Mirae, Hong, Soonwoo, Yankeelov, Thomas E, Yeh, Hsin-Chih, Liu, Yen-Liang
Format:	Artikel
Sprache:	eng
Schlagworte:	Breast Neoplasms Cell Line, Tumor Deep Learning Epithelial-Mesenchymal Transition - genetics ErbB Receptors - genetics ErbB Receptors - metabolism Female Humans MCF-7 Cells Original Papers
Online-Zugang:	Volltext
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