Ratiometric 3D DNA Machine Combined with Machine Learning Algorithm for Ultrasensitive and High-Precision Screening of Early Urinary Diseases-Reference-Cited by-同舟云学术

Ratiometric 3D DNA Machine Combined with Machine Learning Algorithm for Ultrasensitive and High-Precision Screening of Early Urinary Diseases

Published:2021-11-23 Issue:12 Volume:15 Page:19522-19534
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Wu Na¹,Zhang Xin-Yu²³,Xia Jie⁴,Li Xin²,Yang Ting¹^ORCID,Wang Jian-Hua¹^ORCID

Affiliation:

1. Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Box 332, Shenyang 110819, China

2. General Hospital of Northern Theater Command, Shenyang 110015, China

3. Dalian Medical University, Dalian 116044, China

4. Product Research Institute, Research and Development Center, Huayou Nonferrous Industrial Group, Zhejiang Huayou Cobalt Co., Ltd., Quzhou 324000, China

Funder

Ministry of Education of the People's Republic of China

Liaoning Revitalization Talents Program

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsnano.1c06429

Reference38 articles.

1. Proteomics Analysis of Bladder Cancer Exosomes

2. Identification and proteomic profiling of exosomes in human urine

3. Quantitative proteomic analysis of urinary exosomes in kidney stone patients

4. Urinary biomarkers of prostate cancer

5. A multiplex quantitative proteomics strategy for protein biomarker studies in urinary exosomes

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