Machine Learning Approach to Raman Spectrum Analysis of MIA PaCa-2 Pancreatic Cancer Tumor Repopulating Cells for Classification and Feature Analysis

Machine Learning Approach to Raman Spectrum Analysis of MIA PaCa-2 Pancreatic Cancer Tumor Repopulating Cells for Classification and Feature Analysis

A machine learning approach is applied to Raman spectra of cells from the MIA PaCa-2 human pancreatic cancer cell line to distinguish between tumor repopulating cells (TRCs) and parental control cells, and to aid in the identification of molecular signatures. Fifty-one Raman spectra from the two typ...

Full description

Bibliographic Details
Main Authors: Christopher T. Mandrell, Torrey E. Holland, James F. Wheeler, Sakineh M. A. Esmaeili, Kshitij Amar, Farhan Chowdhury, Poopalasingam Sivakumar
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Life
Subjects:
tumor repopulating cell (TRC)
support vector machine (SVM)
k-nearest neighbor (kNN)
principal component analysis (PCA)
Raman spectroscopy
pancreatic cancer
Online Access:https://www.mdpi.com/2075-1729/10/9/181

Internet

https://www.mdpi.com/2075-1729/10/9/181

Similar Items