Discrimination of Genetic Biomarkers of Disease through Machine-Learning-Based Hypothesis Testing of Direct SERS Spectra of DNA and RNA-Reference-Cited by-同舟云学术

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Discrimination of Genetic Biomarkers of Disease through Machine-Learning-Based Hypothesis Testing of Direct SERS Spectra of DNA and RNA

Published:2024-04-29 Issue:5 Volume:9 Page:2488-2498
ISSN:2379-3694
Container-title:ACS Sensors
language:en
Short-container-title:ACS Sens.

Author:

Chheda Jinisha¹,Fang Yating²,Deriu Chiara³^ORCID,Ezzat Ahmed Aziz²,Fabris Laura³^ORCID

Affiliation:

1. Department of Materials Science and Engineering, Rutgers University, Piscataway, New Jersey 08854, United States

2. Department of Industrial and Systems Engineering, Rutgers University, Piscataway, New Jersey 08854, United States

3. Department of Applied Science and Technology, Politecnico di Torino, 10129 Torino, Italy

Funder

School of Graduate Studies, Rutgers, The State University of New Jersey

Research Council, Rutgers, The State University of New Jersey

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acssensors.4c00166

Reference56 articles.

1. Micrornas in prostate cancer: an overview

2. Circulating MicroRNAs as Biomarkers for Prostate Cancer Detection and Metastasis Development Prediction

3. Research advances in the detection of miRNA

4. MicroRNA Detection Specificity: Recent Advances and Future Perspective

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing SERS as a quantitative technique: challenges, considerations, and correlative approaches to aid validation;Nano Convergence;2024-08-17

2. Bacterial Wastewater-Based Epidemiology Using Surface-Enhanced Raman Spectroscopy and Machine Learning;2024-07-23

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