Volume 13, supplement issue 16, November 2012

Statistical mass spectrometry-based proteomics

Issue editors

Predrag Radivojac
Olga Vitek

13 articles in this issue

A statistical model-building perspective to identification of MS/MS spectra with PeptideProphet

Authors
- Kelvin Ma
- Olga Vitek
- Alexey I Nesvizhskii
- Content type: Research
- Open Access
- Published: 05 November 2012
- Article: S1
False discovery rates in spectral identification

Authors
- Kyowon Jeong
- Sangtae Kim
- Nuno Bandeira
- Content type: Research
- Open Access
- Published: 05 November 2012
- Article: S2
A cross-validation scheme for machine learning algorithms in shotgun proteomics

Authors
- Viktor Granholm
- William Stafford Noble
- Lukas Käll
- Content type: Research
- Open Access
- Published: 05 November 2012
- Article: S3
Computational approaches to protein inference in shotgun proteomics

Authors
- Yong Fuga Li
- Predrag Radivojac
- Content type: Review
- Open Access
- Published: 05 November 2012
- Article: S4
Normalization and missing value imputation for label-free LC-MS analysis

Authors
- Yuliya V Karpievitch
- Alan R Dabney
- Richard D Smith
- Content type: Research
- Open Access
- Published: 05 November 2012
- Article: S5
Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs

Authors (first, second and last of 5)
- Timothy Clough
- Safia Thaminy
- Olga Vitek
- Content type: Research
- Open Access
- Published: 05 November 2012
- Article: S6
Statistical methods for quantitative mass spectrometry proteomic experiments with labeling

Authors
- Ann L Oberg
- Douglas W Mahoney
- Content type: Review
- Open Access
- Published: 05 November 2012
- Article: S7
In silico design of targeted SRM-based experiments

Authors
- Sven Nahnsen
- Oliver Kohlbacher
- Content type: Research
- Open Access
- Published: 05 November 2012
- Article: S8
Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics

Authors
- D R Mani
- Susan E Abbatiello
- Steven A Carr
- Content type: Research
- Open Access
- Published: 05 November 2012
- Article: S9
A tutorial in displaying mass spectrometry-based proteomic data using heat maps

Authors
- Melissa Key
- Content type: Review
- Open Access
- Published: 05 November 2012
- Article: S10
MALDI imaging mass spectrometry: statistical data analysis and current computational challenges

Authors
- Theodore Alexandrov
- Content type: Review
- Open Access
- Published: 05 November 2012
- Article: S11
1D and 2D annotation enrichment: a statistical method integrating quantitative proteomics with complementary high-throughput data

Authors
- Juergen Cox
- Matthias Mann
- Content type: Research
- Open Access
- Published: 05 November 2012
- Article: S12
Knowledge-based analysis of proteomics data

Authors (first, second and last of 5)
- Marina Bessarabova
- Alexander Ishkin
- Yuri Nikolsky
- Content type: Review
- Open Access
- Published: 05 November 2012
- Article: S13

Volume 13, supplement issue 16, November 2012

Statistical mass spectrometry-based proteomics

A statistical model-building perspective to identification of MS/MS spectra with PeptideProphet

False discovery rates in spectral identification

A cross-validation scheme for machine learning algorithms in shotgun proteomics

Computational approaches to protein inference in shotgun proteomics

Normalization and missing value imputation for label-free LC-MS analysis

Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs

Statistical methods for quantitative mass spectrometry proteomic experiments with labeling

In silico design of targeted SRM-based experiments

Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics

A tutorial in displaying mass spectrometry-based proteomic data using heat maps

MALDI imaging mass spectrometry: statistical data analysis and current computational challenges

1D and 2D annotation enrichment: a statistical method integrating quantitative proteomics with complementary high-throughput data

Knowledge-based analysis of proteomics data

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Volume 13, supplement issue 16, November 2012

Statistical mass spectrometry-based proteomics

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