Machine learning based analysis of human prostate cancer cell lines at different metastatic ability using native fluorescence spectroscopy with selective excitation wavelength-Reference-Cited by-同舟云学术

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Machine learning based analysis of human prostate cancer cell lines at different metastatic ability using native fluorescence spectroscopy with selective excitation wavelength

Published:2018-02-20 Issue: Volume: Page:
ISSN:
Container-title:Biophysics, Biology and Biophotonics III: the Crossroads
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Author:

Pu Yang,Wu Binlin,Xue Jiangpeng,Smith Jason,Gao Xin

Publisher

SPIE

Reference31 articles.

1. Laser induced fluorescence spectroscopy from native cancerous and normal tissue

2. Changes of collagen and nicotinamide adenine dinucleotide in human cancerous and normal prostate tissues studied using native fluorescence spectroscopy with selective excitation wavelength

3. Human brain cancer studied by resonance Raman spectroscopy

4. Native fluorescence spectroscopy reveals spectral differences among prostate cancer cell lines with different risk levels

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