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Sunday, July 26, 2020 | History

2 edition of Development and evaluation of methods for predicting protein levels from tandem mass spectrometry data. found in the catalog.

Development and evaluation of methods for predicting protein levels from tandem mass spectrometry data.

Han Liu

Development and evaluation of methods for predicting protein levels from tandem mass spectrometry data.

by Han Liu

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Published .
Written in English


About the Edition

This work addresses a central problem of Proteomics: estimating the amounts of each of the thousands of proteins in a cell culture or tissue sample. Although laboratory methods involving isotopes have been developed for this problem, we seek a simpler approach, one that uses more-straightforward laboratory procedures. Specifically, our aim is to use data-mining techniques to infer protein levels from the relatively cheap and abundant data available from high-throughput tandem mass spectrometry (MS/MS). In this thesis, we develop and evaluate several techniques for tackling this problem. Specifically, we develop and evaluate different statistical models of MS/MS data. In addition, to evaluate their biological relevance, we test each method on three real-world datasets generated by MS/MS experiments performed on various tissue samples taken from Mouse.

The Physical Object
Pagination122 leaves.
Number of Pages122
ID Numbers
Open LibraryOL22719336M
ISBN 100494024739


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Development and evaluation of methods for predicting protein levels from tandem mass spectrometry data by Han Liu Download PDF EPUB FB2