Citation: OUYANG Yong-Zhong, ZENG Yu-Ting, GUO Wei-Qing, DENG Jin-Lian, WEI Yi-Ping. Mass Spectrometric Discrimination of Human Lung Tumors under Ambient Conditions Based on Random Forest Algorithm[J]. Chinese Journal of Analytical Chemistry, ;2020, 48(8): 1012-1017. doi: 10.19756/j.issn.0253-3820.201083 shu

Mass Spectrometric Discrimination of Human Lung Tumors under Ambient Conditions Based on Random Forest Algorithm

1.
School of Environmental and Chemical Engineering, Foshan University, Foshan 528000, China;
2.
School of Food Science and Engineering, Foshan University, Foshan 528000, China;
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Department of Cardiothoracic Surgery, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China

Received Date: 18 February 2020
Revised Date: 6 May 2020

Fund Project: This work was supported by the National Natural Science Foundation of China (No. 21405013).

Random forest algorithm (RF) is a machine learning algorithm based on decision trees. Due to the good performance of classification and variables selection, it has been widely used in biomedical high-dimensional data analysis. In order to fast and accurately distinguish human lung cancer from adjacent normal tissues, a model for direct ambient mass spectrometric analysis of lung cancer tissue sections based on random forest algorithm was developed. The purpose of this study was to establish a liquid assisted surface desorption atmospheric pressure chemical ionization mass spectrometry (DAPCI-MS) platform, combined with the random forest algorithm, to directly identify and differentiate the untreated human lung squamous cell carcinoma tissue sections under normal temperature and pressure, as well as obtaining the biomarkers of lung cancer for differentiation from normal tissue. The results showed that when the number of decision trees n_tree=100, the accuracy of distinguishing human lung squamous cell carcinoma from adjacent normal tissues reached 100%. Compared with other methods, this model had higher robustness, better classification effect and stronger generalization ability. This study provided a more accurate and reliable classification model for rapid differentiation of human lung cancer tissues from adjacent normal tissues in complex matrix.
1. [1]
2. [2]
3. [3]
4. [4]
5. [5]
6. [6]
7. [7]
8. [8]
9. [9]
10. [10]
11. [11]
12. [12]
13. [13]
14. [14]
15. [15]
16. [16]
17. [17]
18. [18]
19. [19]
20. [20]
21. [21]
22. [22]
23. [23]
24. [24]
25. [25]
26. [26]
27. [27]
28. [28]
29. [29]
30. [30]
31. [31]
32. [32]
33. [33]
34. [34]
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