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Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry - Qi Zhu
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2011, ISBN: 9783843394468

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The analsyses involve novel as well as application oritented statistical methodologies applied to the mass spectrometry based proteomics data. This is a new research area in the statistical point of view, and it requires non-routine statistical modeling approaches. The analyses are based on the assumption of unknown peptide sequences. In such situation, more elaborate statistical modeling approaches need to be developed, to account for the uncertainty caused by the estimation of the masses of the peptides. Two topics are considered in the analyses. The first topic is to separate and quantify overlapping peptides for the label-free applications. The challenge to this topic is to distinguish the isotopic peaks from different peptides which cause an overlap in a spectrum. The second topic aims towards one of the recently developed labeling techniques-- the enzymatic 18O labeling. The key difficulty lies in this topic is how to account for incomplete labeling, non-constant residual variance, etc. Both frequentist and Bayesian approaches are applied. Bayesian analysis becomes the unique choice when non-identifiability issues arise without the incorporation of prior information. Approaches dealing with Labeled and Label-free Peptide Applications Bücher > Fremdsprachige Bücher > Englische Bücher Taschenbuch 18.01.2011 Buch (fremdspr.), LAP Lambert Academic Publishing, .201

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Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry - Qi Zhu
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Qi Zhu:
Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry - neues Buch

2011, ISBN: 9783843394468

ID: 636463315

The analsyses involve novel as well as application oritented statistical methodologies applied to the mass spectrometry based proteomics data. This is a new research area in the statistical point of view, and it requires non-routine statistical modeling approaches. The analyses are based on the assumption of unknown peptide sequences. In such situation, more elaborate statistical modeling approaches need to be developed, to account for the uncertainty caused by the estimation of the masses of the peptides. Two topics are considered in the analyses. The first topic is to separate and quantify overlapping peptides for the label-free applications. The challenge to this topic is to distinguish the isotopic peaks from different peptides which cause an overlap in a spectrum. The second topic aims towards one of the recently developed labeling techniques-- the enzymatic 18O labeling. The key difficulty lies in this topic is how to account for incomplete labeling, non-constant residual variance, etc. Both frequentist and Bayesian approaches are applied. Bayesian analysis becomes the unique choice when non-identifiability issues arise without the incorporation of prior information. Approaches dealing with Labeled and Label-free Peptide Applications Buch (fremdspr.) Taschenbuch 18.01.2011 Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing, .201

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Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry - Qi Zhu
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Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry - neues Buch

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ID: 836675645

The analsyses involve novel as well as application oritented statistical methodologies applied to the mass spectrometry based proteomics data. This is a new research area in the statistical point of view, and it requires non-routine statistical modeling approaches. The analyses are based on the assumption of unknown peptide sequences. In such situation, more elaborate statistical modeling approaches need to be developed, to account for the uncertainty caused by the estimation of the masses of the peptides. Two topics are considered in the analyses. The first topic is to separate and quantify overlapping peptides for the label-free applications. The challenge to this topic is to distinguish the isotopic peaks from different peptides which cause an overlap in a spectrum. The second topic aims towards one of the recently developed labeling techniques-- the enzymatic 18O labeling. The key difficulty lies in this topic is how to account for incomplete labeling, non-constant residual variance, etc. Both frequentist and Bayesian approaches are applied. Bayesian analysis becomes the unique choice when non-identifiability issues arise without the incorporation of prior information. Approaches dealing with Labeled and Label-free Peptide Applications Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing

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Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry:Approaches dealing with Labeled and Label-free Peptide Applications Qi Zhu Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry:Approaches dealing with Labeled and Label-free Peptide Applications Qi Zhu Bücher > Wissenschaft > Mathematik, LAP Lambert Acad. Publ.

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Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry ab 79 EURO Approaches dealing with Labeled and Label-free Peptide Applications Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry ab 79 EURO Approaches dealing with Labeled and Label-free Peptide Applications Bücher > Wissenschaft > Mathematik

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Details zum Buch
Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry

The analsyses involve novel as well as application oritented statistical methodologies applied to the mass spectrometry based proteomics data. This is a new research area in the statistical point of view, and it requires non-routine statistical modeling approaches. The analyses are based on the assumption of unknown peptide sequences. In such situation, more elaborate statistical modeling approaches need to be developed, to account for the uncertainty caused by the estimation of the masses of the peptides. Two topics are considered in the analyses. The first topic is to separate and quantify overlapping peptides for the label-free applications. The challenge to this topic is to distinguish the isotopic peaks from different peptides which cause an overlap in a spectrum. The second topic aims towards one of the recently developed labeling techniques-- the enzymatic 18O labeling. The key difficulty lies in this topic is how to account for incomplete labeling, non-constant residual variance, etc. Both frequentist and Bayesian approaches are applied. Bayesian analysis becomes the unique choice when non-identifiability issues arise without the incorporation of prior information.

Detailangaben zum Buch - Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry


EAN (ISBN-13): 9783843394468
ISBN (ISBN-10): 3843394466
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2011
Herausgeber: AV Akademikerverlag GmbH & Co. KG.

Buch in der Datenbank seit 12.09.2007 02:49:33
Buch zuletzt gefunden am 29.11.2017 16:51:41
ISBN/EAN: 3843394466

ISBN - alternative Schreibweisen:
3-8433-9446-6, 978-3-8433-9446-8


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