Application of individualized differential expression analysis in human cancer proteome

Abstract Liquid chromatography–mass spectrometry-based quantitative proteomics can measure the expression of thousands of proteins from biological samples and has been increasingly applied in cancer research. Identifying differentially expressed proteins (DEPs) between tumors and normal controls is...

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Bibliographic Details
Published in:	Briefings in bioinformatics Vol. 23; no. 3
Main Authors:	Liu, Yachen, Lin, Yalan, Yang, Wenxian, Lin, Yuxiang, Wu, Yujuan, Zhang, Zheyang, Lin, Nuoqi, Wang, Xianlong, Tong, Mengsha, Yu, Rongshan
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 13.05.2022 Oxford Publishing Limited (England)
Subjects:	Algorithms Big Data Biological properties Biological samples Biomarkers Biomedical data Cancer Cancer research Carcinogenesis Carcinogens Data science Deregulation Liquid chromatography Mass spectrometry Mass spectroscopy Pattern recognition Population (statistical) Precision medicine Proteins Proteomes Proteomics Ribonucleic acid RNA Statistical methods Tumors individualized differential expression comparative analysis prognostic biomarkers human cancer proteome
ISSN:	1467-5463, 1477-4054, 1477-4054
Online Access:	Get full text
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