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William E Fondrie

Showing results (1-10 of 27) with videos related to

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Journal of Proteome Research|February 4, 2020
Machine Learning Strategy That Leverages Large Data sets to Boost Statistical Power in Small-Scale ExperimentsWilliam E Fondrie, William S Noble
Journal of Proteome Research|February 17, 2021
mokapot: Fast and Flexible Semisupervised Learning for Peptide DetectionWilliam E Fondrie, William S Noble
Journal of Proteome Research|August 3, 2021
ppx: Programmatic Access to Proteomics Data RepositoriesWilliam E Fondrie, Wout Bittremieux, William S Noble
Journal of Proteomics|January 8, 2016
Triple SILAC quantitative proteomic analysis reveals differential abundance of cell signaling proteins between normal and lung cancer-derived exosomesDavid J Clark, William E Fondrie, Austin Yang, et al.
Journal of Proteome Research|October 20, 2023
Evaluating Proteomics Imputation Methods with Improved CriteriaLincoln Harris, William E Fondrie, Sewoong Oh, et al.
Journal of Proteome Research|January 23, 2023
Semisupervised Machine Learning for Sensitive Open Modification Spectral Library SearchingIssar Arab, William E Fondrie, Kris Laukens, et al.
Proteomics|February 21, 2024
Target-decoy false discovery rate estimation using CremaAndy Lin, Donavan See, William E Fondrie, et al.
Current Drug Targets|May 12, 2018
Role of the LDL Receptor-Related Protein 1 in Regulating Protease Activity and Signaling Pathways in the VasculatureDianaly T Au, Allison L Arai, William E Fondrie, et al.
Journal of Proteome Research|August 30, 2024
Accounting for Digestion Enzyme Bias in CasanovoCarlo Melendez, Justin Sanders, Melih Yilmaz, et al.
Analytical Chemistry|September 18, 2015
Redefining the Breast Cancer Exosome Proteome by Tandem Mass Tag Quantitative Proteomics and Multivariate Cluster AnalysisDavid J Clark, William E Fondrie, Zhongping Liao, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Journal of Proteome Research|February 4, 2020
Machine Learning Strategy That Leverages Large Data sets to Boost Statistical Power in Small-Scale ExperimentsWilliam E Fondrie, William S Noble
Journal of Proteome Research|February 17, 2021
mokapot: Fast and Flexible Semisupervised Learning for Peptide DetectionWilliam E Fondrie, William S Noble
Journal of Proteome Research|August 3, 2021
ppx: Programmatic Access to Proteomics Data RepositoriesWilliam E Fondrie, Wout Bittremieux, William S Noble
Journal of Proteomics|January 8, 2016
Triple SILAC quantitative proteomic analysis reveals differential abundance of cell signaling proteins between normal and lung cancer-derived exosomesDavid J Clark, William E Fondrie, Austin Yang, et al.
Journal of Proteome Research|October 20, 2023
Evaluating Proteomics Imputation Methods with Improved CriteriaLincoln Harris, William E Fondrie, Sewoong Oh, et al.
Journal of Proteome Research|January 23, 2023
Semisupervised Machine Learning for Sensitive Open Modification Spectral Library SearchingIssar Arab, William E Fondrie, Kris Laukens, et al.
Proteomics|February 21, 2024
Target-decoy false discovery rate estimation using CremaAndy Lin, Donavan See, William E Fondrie, et al.
Current Drug Targets|May 12, 2018
Role of the LDL Receptor-Related Protein 1 in Regulating Protease Activity and Signaling Pathways in the VasculatureDianaly T Au, Allison L Arai, William E Fondrie, et al.
Journal of Proteome Research|August 30, 2024
Accounting for Digestion Enzyme Bias in CasanovoCarlo Melendez, Justin Sanders, Melih Yilmaz, et al.
Analytical Chemistry|September 18, 2015
Redefining the Breast Cancer Exosome Proteome by Tandem Mass Tag Quantitative Proteomics and Multivariate Cluster AnalysisDavid J Clark, William E Fondrie, Zhongping Liao, et al.
Pageof 3