Probabilistic Disease Classification of Expression-Dependent Proteomic Data from Mass Spectrometry of Human Serum-Reference-Cited by-同舟云学术

Probabilistic Disease Classification of Expression-Dependent Proteomic Data from Mass Spectrometry of Human Serum

Published:2003-12 Issue:6 Volume:10 Page:925-946
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Lilien Ryan H.¹,Farid Hany²,Donald Bruce R.³

Affiliation:

1. Dartmouth Computer Science Department, Hanover, NH 03755; and Dartmouth Medical School, Hanover, NH 03755

2. Dartmouth Computer Science Department, Hanover, NH 03755

3. Dartmouth Computer Science Department, Hanover, NH 03755; Dartmouth Chemistry Department, Hanover, NH 03755; and Dartmouth Department of Biological Sciences, Hanover, NH 03755

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/106652703322756159

Reference27 articles.

1. Differentiation of betamethasone and dexamethasone using liquid chromatography/positive electrospray tandem mass spectrometry and multivariate statistical analysis

2. The use of Seldi ProteinChip? Arrays to monitor production of Alzheimer's ?-amyloid in transfected cells

3. The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000

4. An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers

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