CO-01 Prediction of pathological and radiological nature of glioma by mass spectrometry combined with machine learning

BACKGROUND: We have previously developed a medical diagnostic pipeline that employs mass spectrometry and machine learning. It does not annotate molecular markers that are specific to cancer but uses entire mass spectra for predicting the properties of glioma. OBJECT: To validate the power of our di...

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Detalles Bibliográficos
Autores principales: Kawataki, Tomoyuki, Hanihara, Mitsuto, Suzuki, Keiko, Yoshimura, Kentaro, Takeda, Sen, Kinouchi, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Supplement Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699122/
http://dx.doi.org/10.1093/noajnl/vdaa143.027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699122/
http://dx.doi.org/10.1093/noajnl/vdaa143.027

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