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Journal of Proteomics
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July 14, 2019
Five simple yet essential steps to correctly estimate the rate of false differentially abundant proteins in mass spectrometry analyses
Samuel Wieczorek, Quentin Giai Gianetto, Thomas Burger
Methods in Molecular Biology (Clifton, N.J.)
|
March 11, 2019
Protein-Level Statistical Analysis of Quantitative Label-Free Proteomics Data with ProStaR
Samuel Wieczorek, Florence Combes, Hélène Borges, et al.
Biostatistics (Oxford, England)
|
March 22, 2025
Penalized likelihood optimization for censored missing value imputation in proteomics
Lucas Etourneau, Laura Fancello, Samuel Wieczorek, et al.
Bioinformatics (Oxford, England)
|
January 14, 2014
Mass-spectrometry-based spatial proteomics data analysis using pRoloc and pRolocdata
Laurent Gatto, Lisa M Breckels, Samuel Wieczorek, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
October 29, 2022
Statistical Analysis of Quantitative Peptidomics and Peptide-Level Proteomics Data with Prostar
Marianne Tardif, Enora Fremy, Anne-Marie Hesse, et al.
Bioinformatics (Oxford, England)
|
September 9, 2016
DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics
Samuel Wieczorek, Florence Combes, Cosmin Lazar, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 6) with videos related to
Sort By:
Page
of 1
Journal of Proteomics
|
July 14, 2019
Five simple yet essential steps to correctly estimate the rate of false differentially abundant proteins in mass spectrometry analyses
Samuel Wieczorek, Quentin Giai Gianetto, Thomas Burger
Methods in Molecular Biology (Clifton, N.J.)
|
March 11, 2019
Protein-Level Statistical Analysis of Quantitative Label-Free Proteomics Data with ProStaR
Samuel Wieczorek, Florence Combes, Hélène Borges, et al.
Biostatistics (Oxford, England)
|
March 22, 2025
Penalized likelihood optimization for censored missing value imputation in proteomics
Lucas Etourneau, Laura Fancello, Samuel Wieczorek, et al.
Bioinformatics (Oxford, England)
|
January 14, 2014
Mass-spectrometry-based spatial proteomics data analysis using pRoloc and pRolocdata
Laurent Gatto, Lisa M Breckels, Samuel Wieczorek, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
October 29, 2022
Statistical Analysis of Quantitative Peptidomics and Peptide-Level Proteomics Data with Prostar
Marianne Tardif, Enora Fremy, Anne-Marie Hesse, et al.
Bioinformatics (Oxford, England)
|
September 9, 2016
DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics
Samuel Wieczorek, Florence Combes, Cosmin Lazar, et al.
Page
of 1