Article

High risk glioblastoma cells revealed by machine learning and single cell signaling profiles

2019-05-10

Abstract excerpt

Recent developments in machine learning implemented dimensionality reduction and clustering tools to classify the cellular composition of patient-derived tissue in multi-dimensional, single cell studies. Current approaches, however, require prior knowledge of either categorical clinical outcomes or cell type identities. These algorithms are not well suited for application in tumor biology, where clinical outcomes...

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Literature Corpus work: 3763ab26-1fca-5c6c-ab75-973e171d7787
DOI: 10.1101/632208

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