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Matthew The

Showing results (1-10 of 39) with videos related to

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Journal of Proteome Research|December 15, 2015
MaRaCluster: A Fragment Rarity Metric for Clustering Fragment Spectra in Shotgun ProteomicsMatthew The, Lukas Käll
Nature Communications|June 28, 2020
Focus on the spectra that matter by clustering of quantification data in shotgun proteomicsMatthew The, Lukas Käll
Journal of Proteome Research|March 4, 2021
Triqler for MaxQuant: Enhancing Results from MaxQuant by Bayesian Error Propagation and IntegrationMatthew The, Lukas Käll
Methods in Molecular Biology (Clifton, N.J.)|October 29, 2022
Integrating Identification and Quantification Uncertainty for Differential Protein Abundance Analysis with TriqlerMatthew The, Lukas Käll
Molecular & Cellular Proteomics : MCP|November 29, 2018
Integrated Identification and Quantification Error Probabilities for Shotgun ProteomicsMatthew The, Lukas Käll
Journal of Proteome Research|March 29, 2023
Triqler for Protein Summarization of Data from Data-Independent Acquisition Mass SpectrometryPatrick Truong, Matthew The, Lukas Käll
Proteomics|August 10, 2016
How to talk about protein-level false discovery rates in shotgun proteomicsMatthew The, Ayesha Tasnim, Lukas Käll
Proteomics|October 18, 2025
Computational Approaches for Pathway-Centric Analysis of Protein Post-Translational ModificationsJulian Müller, Bernhard Kuster, Matthew The
Molecular & Cellular Proteomics : MCP|November 3, 2022
Reanalysis of ProteomicsDB Using an Accurate, Sensitive, and Scalable False Discovery Rate Estimation Approach for Protein GroupsMatthew The, Patroklos Samaras, Bernhard Kuster, et al.
Methods in Molecular Biology (Clifton, N.J.)|March 29, 2024
Deep Learning-Assisted Analysis of Immunopeptidomics DataWassim Gabriel, Mario Picciani, Matthew The, et al.
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Journal of Proteome Research|December 15, 2015
MaRaCluster: A Fragment Rarity Metric for Clustering Fragment Spectra in Shotgun ProteomicsMatthew The, Lukas Käll
Nature Communications|June 28, 2020
Focus on the spectra that matter by clustering of quantification data in shotgun proteomicsMatthew The, Lukas Käll
Journal of Proteome Research|March 4, 2021
Triqler for MaxQuant: Enhancing Results from MaxQuant by Bayesian Error Propagation and IntegrationMatthew The, Lukas Käll
Methods in Molecular Biology (Clifton, N.J.)|October 29, 2022
Integrating Identification and Quantification Uncertainty for Differential Protein Abundance Analysis with TriqlerMatthew The, Lukas Käll
Molecular & Cellular Proteomics : MCP|November 29, 2018
Integrated Identification and Quantification Error Probabilities for Shotgun ProteomicsMatthew The, Lukas Käll
Journal of Proteome Research|March 29, 2023
Triqler for Protein Summarization of Data from Data-Independent Acquisition Mass SpectrometryPatrick Truong, Matthew The, Lukas Käll
Proteomics|August 10, 2016
How to talk about protein-level false discovery rates in shotgun proteomicsMatthew The, Ayesha Tasnim, Lukas Käll
Proteomics|October 18, 2025
Computational Approaches for Pathway-Centric Analysis of Protein Post-Translational ModificationsJulian Müller, Bernhard Kuster, Matthew The
Molecular & Cellular Proteomics : MCP|November 3, 2022
Reanalysis of ProteomicsDB Using an Accurate, Sensitive, and Scalable False Discovery Rate Estimation Approach for Protein GroupsMatthew The, Patroklos Samaras, Bernhard Kuster, et al.
Methods in Molecular Biology (Clifton, N.J.)|March 29, 2024
Deep Learning-Assisted Analysis of Immunopeptidomics DataWassim Gabriel, Mario Picciani, Matthew The, et al.
Pageof 4