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David Fenyö

Showing results (1-10 of 176) with videos related to

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Bioinformatics (Oxford, England)|October 5, 2019
L1EM: a tool for accurate locus specific LINE-1 RNA quantificationWilson McKerrow, David Fenyö
Methods in Molecular Biology (Clifton, N.J.)|September 14, 2010
Modeling experimental design for proteomicsJan Eriksson, David Fenyö
Current Protocols in Bioinformatics|April 23, 2008
Finding protein sequences using PROWLRonald Beavis, David Fenyö
Proteomics|March 29, 2002
A model of random mass-matching and its use for automated significance testing in mass spectrometric proteome analysisJan Eriksson, David Fenyö
Methods in Molecular Biology (Clifton, N.J.)|November 18, 2010
Modeling mass spectrometry-based protein analysisJan Eriksson, David Fenyö
Journal of Proteome Research|March 5, 2004
Probity: a protein identification algorithm with accurate assignment of the statistical significance of the resultsJan Eriksson, David Fenyö
Journal of Proteome Research|October 12, 2004
The statistical significance of protein identification results as a function of the number of protein sequences searchedJan Eriksson, David Fenyö
Cell Reports. Medicine|June 22, 2022
When blockchain meets artificial intelligence: An application to cancer histopathologyRunyu Hong, David Fenyö
Journal of Proteome Research|October 19, 2023
Proteogenomics Reveal the Overexpression of HLA-I in CancerYing Wang, David Fenyö
Proteomics|July 21, 2016
OpenSlice: Quantitative data sharing from HyperPeaks to global ion chromatograms (GICs)Manor Askenazi, David Fenyö
Pageof 18

Showing results (1-10 of 176) with videos related to

Sort By:
Pageof 18
Bioinformatics (Oxford, England)|October 5, 2019
L1EM: a tool for accurate locus specific LINE-1 RNA quantificationWilson McKerrow, David Fenyö
Methods in Molecular Biology (Clifton, N.J.)|September 14, 2010
Modeling experimental design for proteomicsJan Eriksson, David Fenyö
Current Protocols in Bioinformatics|April 23, 2008
Finding protein sequences using PROWLRonald Beavis, David Fenyö
Proteomics|March 29, 2002
A model of random mass-matching and its use for automated significance testing in mass spectrometric proteome analysisJan Eriksson, David Fenyö
Methods in Molecular Biology (Clifton, N.J.)|November 18, 2010
Modeling mass spectrometry-based protein analysisJan Eriksson, David Fenyö
Journal of Proteome Research|March 5, 2004
Probity: a protein identification algorithm with accurate assignment of the statistical significance of the resultsJan Eriksson, David Fenyö
Journal of Proteome Research|October 12, 2004
The statistical significance of protein identification results as a function of the number of protein sequences searchedJan Eriksson, David Fenyö
Cell Reports. Medicine|June 22, 2022
When blockchain meets artificial intelligence: An application to cancer histopathologyRunyu Hong, David Fenyö
Journal of Proteome Research|October 19, 2023
Proteogenomics Reveal the Overexpression of HLA-I in CancerYing Wang, David Fenyö
Proteomics|July 21, 2016
OpenSlice: Quantitative data sharing from HyperPeaks to global ion chromatograms (GICs)Manor Askenazi, David Fenyö
Pageof 18