Serum Protein Fishing for Machine Learning-Boosted Diagnostic Classification of Small Nodules of Lung

Serum Protein Fishing for Machine Learning-Boosted Diagnostic Classification of Small Nodules of Lung

Diagnosis of benign and malignant small nodules of the lung remains an unmet clinical problem which is leading to serious false positive diagnosis and overtreatment. Here, we developed a serum protein fishing-based spectral library (ProteoFish) for data independent acquisition analysis and a machine...

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Bibliographic Details
Main Author: Mengjie Wang (436531) (author)
Other Authors: Xin Dai (152712) (author), Xu Yang (112496) (author), Baichuan Jin (12024907) (author), Yueli Xie (17845184) (author), Chenlu Xu (5934014) (author), Qiqi liu (17845187) (author), Lichao Wang (821426) (author), Lisha Ying (4421020) (author), Weishan Lu (17845190) (author), Qixun Chen (727160) (author), Ting Fu (468057) (author), Dan Su (8007) (author), Yuan Liu (88411) (author), Weihong Tan (9692) (author)
Published: 2024
Subjects:
Biochemistry
Medicine
Cell Biology
Genetics
Cancer
Hematology
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
unmet clinical problem
facile cancer screening
existing clinical assays
current clinical challenge
boosted protein panel
based spectral library
297 clinical subjects
serum protein fishing
malignant small nodules
prospective diagnostic classification
boosted diagnostic classification
small nodules
diagnostic classification
random forest
machine learning
lasso algorithm
early non
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