Feature selection and machine learning with mass spectrometry data

S Datta - Mass spectrometry data analysis in proteomics, 2013 - Springer
Mass spectrometry has been used in biochemical research for a long time. However, its
potential of discovering proteomic biomarkers using protein mass spectra aroused …

A simpler method of preprocessing MALDI-TOF MS data for differential biomarker analysis: stem cell and melanoma cancer studies

DL Tong, DJ Boocock, C Coveney, J Saif, SG Gomez… - Clinical proteomics, 2011 - Springer
Introduction Raw spectral data from matrix-assisted laser desorption/ionisation time-of-flight
(MALDI-TOF) with MS profiling techniques usually contains complex information not readily …

[HTML][HTML] pkDACLASS: open source software for analyzing MALDI-TOF data

J Ndukum, M Atlas, S Datta - Bioinformation, 2011 - ncbi.nlm.nih.gov
In recent years, mass spectrometry has become one of the core technologies for high
throughput proteomic profiling in biomedical research. However, reproducibility of the results …

The analysis of peptide-centric mass-spectrometry data utilizing information about the expected isotope distribution

T Burzykowski, J Claesen, D Valkenborg - Statistical Analysis of …, 2017 - Springer
In shotgun proteomics, much attention and instrument time is dedicated to the generation of
tandem mass spectra. These spectra contain information about the fragments of, ideally, one …

Predicting patient survival from proteomic profile using mass spectrometry data: an empirical study

F Mostajabi, S Datta, S Datta - Communications in Statistics …, 2013 - Taylor & Francis
Predicting survival times of patients with the proteomic profile of bodily fluids, such as
plasma and serum, has been of interest in biomedical research. In this article, we consider …

MS-labeller: Bioinformatics support for quality assessment on high resolution mass spectrometry sample

DL Tong, C Coveney, GR Ball - Proceedings of 2012 IEEE …, 2012 - ieeexplore.ieee.org
A major criticism of mass spectrometry publications is their data reproducibility. Here we
address this criticism by including human quality control samples amongst other controls …

[图书][B] Genetic algorithms for feature selection and classification of complex chromatographic and spectroscopic data

NS Mirjankar - 2012 - search.proquest.com
A basic methodology for analyzing large multivariate chemical data sets based on feature
selection is proposed. Each chromatogram or spectrum is represented as a point in a high …

[PDF][PDF] Recent Trends in Data Mining in Proteomics and Various Applications of Mass Spectrometry in Proteomic Studies

N Siva Kishore, M Satya Varali, S Mahaboobbi - J Proteomics Bioinform S, 2011 - Citeseer
Proteomics & Bioinformatics Page 1 Review 1 • 2011 J Proteomics Bioinform ISSN:0974-276X
JPB, an open access journal Research Article Open Access Siva Kishore N et al., J Proteomics …

[图书][B] Regression methods for survival and multistate models

F Mostajabi - 2011 - search.proquest.com
A common research interest in medical, biological, and engineering research is determining
whether certain independent variables are correlated with the survival or failure times …

[图书][B] Statistical inference and classification for mass spectrometry (MS) data

M Atlas - 2009 - search.proquest.com
Mass spectrometry has emerged as a core technology for high throughput proteomics
profiling in biomedical research. However, the complexity of the data poses new statistical …