Pre-Processing Mass Spectrometry Data
نویسندگان
چکیده
Mass spectrometry is actively being used to discover disease-related proteomic patterns in complex mixtures of proteins derived from tissue samples or from easily obtained biological fluids. The potential importance of these clinical applications has made the development of better methods for processing and analyzing the data an active area of research. In this chapter, we overview basic concepts of MALDI-TOF, describe the necessary preprocessing steps, and present our preferred method. We discuss the advantages and disadvantages of our approach relative to other alternatives in existing literature, and compare methods’ performance using real and simulated data.
منابع مشابه
A wavelet-based data pre-processing analysis approach in mass spectrometry
Recently, mass spectrometry analysis has a become an effective and rapid approach in detecting early-stage cancer. To identify proteomic patterns in serum to discriminate cancer patients from normal individuals, machine-learning methods, such as feature selection and classification, have already been involved in the analysis of mass spectrometry (MS) data with some success. However, the perform...
متن کاملA novel wavelet-based thresholding method for the pre-processing of mass spectrometry data that accounts for heterogeneous noise.
In recent years there has been an increased interest in using protein mass spectroscopy to discriminate diseased from healthy individuals with the aim of discovering molecular markers for disease. A crucial step before any statistical analysis is the pre-processing of the mass spectrometry data. Statistical results are typically strongly affected by the specific pre-processing techniques used. ...
متن کاملData pre-processing in liquid chromatography-mass spectrometry-based proteomics
MOTIVATION In a liquid chromatography-mass spectrometry (LC-MS)-based expressional proteomics, multiple samples from different groups are analyzed in parallel. It is necessary to develop a data mining system to perform peak quantification, peak alignment and data quality assurance. RESULTS We have developed an algorithm for spectrum deconvolution. A two-step alignment algorithm is proposed fo...
متن کاملMSnbase: labelled and label-free MS2 data pre-processing, visualisation and quantification
This vignette describes the functionality implemented in the MSnbase package. MSnbase aims at (1) facilitating the import, processing, visualisation and quantification of mass spectrometry data into the Renvironment [1] by providing specific data classes and methods and (2) enabling the utilisation of throughput-high data analysis pipelines provided by the Bioconductor [2] project.
متن کاملWave-spec: a preprocessing package for mass spectrometry data
UNLABELLED Wave-spec is a pre-processing package for mass spectrometry (MS) data. The package includes several novel algorithms that overcome conventional difficulties with the pre-processing of such data. In this application note, we demonstrate step-by-step use of this package on a real-world MALDI dataset. AVAILABILITY The package can be downloaded at http://www.vicc.org/biostatistics/supp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006