Towards rapid prediction of drug-resistant cancer cell phenotypes: single cell mass spectrometry combined with machine learning

• DOI: 10.1039/c8cc08296k
• Publication Date: 2018-11-29T13:36:48Z
• Authors: Renmeng Liu; Genwei Zhang; Zhibo Yang
• Keywords: 0301 basic medicine; Stochastic Processes; 0303 health sciences; Mass Spectrometry; 3. Good health; Machine Learning; 03 medical and health sciences; Logistic Models; Phenotype; Drug Resistance, Neoplasm; Leukemia, Myelogenous, Chronic, BCR-ABL Positive; Humans; Metabolomics; Neural Networks, Computer; Single-Cell Analysis; K562 Cells

The combination of single cell mass spectrometry with machine learning enables prediction drug-resistant phenotypes based on metabolomic profiles.