On Comprehensive Mass Spectrometry Data Analysis for Proteome Profiling of Human Blood Samples-Reference-Cited by-同舟云学术

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On Comprehensive Mass Spectrometry Data Analysis for Proteome Profiling of Human Blood Samples

Published:2018-05-22 Issue:3 Volume:2 Page:305-318
ISSN:2509-4971
Container-title:Journal of Healthcare Informatics Research
language:en
Short-container-title:J Healthc Inform Res

Author:

Manchanda Sameer,Meyer Mikaela,Li Qianqian,Liang Kai,Li Yan,Kong Nan^ORCID

Funder

Directorate for Mathematical and Physical Sciences

Chinese Academy of Sciences Holding, Co. Ltd.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Science Applications,Health Informatics,Information Systems

Link

http://link.springer.com/article/10.1007/s41666-018-0022-0/fulltext.html

Reference30 articles.

1. Ayache S et al (2006) Effects of storage time and exogenous protease inhibitors on plasma protein levels. Am J Clin Pathol 126(2):174. https://doi.org/10.1309/3WM7XJ7RD8BCLNKX

2. Baggerly KA, Morris JS, Coombes KR (2004) Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments. Bioinformatics 20(5):777–785

3. Ball G et al (2002) An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers. Bioinformatics 18(3):395–404

4. Bishop CM (2006) Pattern recognition and machine learning (information science and statistics). Springer-Verlag New York, Inc., Secaucus isbn: 0387310738

5. Breiman L (1996) Bagging predictors. Mach Learn 24(2):123–140

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