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Artificial neural network

Mass Spectrometric Analysis of Cerebrospinal Fluid Protein for Glioma and its Clinical Applications

DOI: 
10.7727/wimj.2015.233
Synopsis: 
The combination of SELDI-TOF-MS and bioinformatics tools is a very effective method for screening and identifying new marker of glioma. The established diagnosis models have provided a new way for the clinical diagnosis of glioma, especially for qualitative diagnosis.

ABSTRACT

Objective: To establish and evaluate the fingerprint diagnostic models of cerebrospinal protein profile in glioma Using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) and bioinformatics analysis, for seeking new tumor markers.

Accepted: 
18 May, 2015
PDF Attachment: 
Journal Sections: 
e-Published: 10 Nov, 2015

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Manuscripts that are “Published at Acceptance” have been peer reviewed and accepted for publication by the Editorial Board of the West Indian Medical Journal. They may appear prior to being copy edited or formatted in the style guide of this Journal. The contents of the manuscript may change before it is published in its final form. While accepted manuscripts are not yet assigned a volume, issue, or page numbers, they can be cited using the DOI and date of e-publication. See our Instructions for Authors on how to properly cite manuscripts at this stage. Manuscripts in this section will be removed once they have been assigned to a volume and issue, but will still retain the DOI and date of e-publication.

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