scholarly journals Bayesian analytical approaches for metabolomics : a novel method for molecular structure-informed metabolite interaction modeling, a novel diagnostic model for differentiating myocardial infarction type, and approaches for compound identification given mass spectrometry data.

2018 ◽  
Author(s):  
Patrick Trainor
Keyword(s):  
Molecular Structure ◽  
Myocardial Infarction ◽  
Mass Spectrometry ◽  
Mass Spectrometry Data ◽  
Diagnostic Model ◽  
Compound Identification ◽  
Interaction Modeling ◽  
Novel Method ◽  
Analytical Approaches

scholarly journals Pipeline of Mass-spectrometry Data Processing for Diagnostic Molecular Marker Panel Obtaining Using the Example of Search Markers of Breast Cancer Metastasis

2021 ◽  
Vol 4 (3) ◽  
pp. e00156
Author(s):  
A.O. Tokareva ◽  
V.V. Chagovets ◽  
A.S. Kononikhin ◽  
N.L. Starodubtseva ◽  
V.E. Frankevich ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Molecular Marker ◽  
Data Processing ◽  
Breast Tissue ◽  
Cancer Metastasis ◽  
Clinical Medicine ◽  
Mass Spectrometry Data ◽  
Diagnostic Model ◽  
Tissue Samples ◽  
Selection Of

A pathology diagnostic using molecular marker is a perspective direction of clinical medicine. Mass-spectrometry (MS) is a one of methods, which are used for obtaining information about molecular profiles. Selection of species, essential for classification “case/control is an important task for data processing. Pipeline of data processing has been proposed using MS data, obtained during analysis of tumor breast tissue samples and health breast tissue samples, with the aim of metastasis marker selection. As a result, selection of lipid markers that belong to classes, related to metastasis and proliferation processes, makes it possible to create high sensitivity diagnostic model, based on logistic regression. The proposed method is applicable for data processing, obtained by MS analysis of other “omics”: metabolome, proteome, glycome.

154: Integration of TPSA and High-Throughput Mass Spectrometry Data Improves Prostate Cancer Prediction

2007 ◽  
Vol 177 (4S) ◽  
pp. 52-53
Author(s):  
Stefano Ongarello ◽  
Eberhard Steiner ◽  
Regina Achleitner ◽  
Isabel Feuerstein ◽  
Birgit Stenzel ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Mass Spectrometry ◽  
High Throughput ◽  
Mass Spectrometry Data ◽  
Cancer Prediction
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