Andrea Argentini - Search Results

Year	Number of Results
2010	1
2015	2
2016	1
2018	1
2019	1
2020	2
2023	1
2024	1

1

Simple Peptide Quantification Approach for MS-Based Proteomics Quality Control.

Maia TM, Staes A, Plasman K, Pauwels J, Boucher K, Argentini A, Martens L, Montoye T, Gevaert K, Impens F. Maia TM, et al. Among authors: argentini a. ACS Omega. 2020 Mar 17;5(12):6754-6762. doi: 10.1021/acsomega.0c00080. eCollection 2020 Mar 31. ACS Omega. 2020. PMID: 32258910 Free PMC article.

2

Update on the moFF Algorithm for Label-Free Quantitative Proteomics.

Argentini A, Staes A, Grüning B, Mehta S, Easterly C, Griffin TJ, Jagtap P, Impens F, Martens L. Argentini A, et al. J Proteome Res. 2019 Feb 1;18(2):728-731. doi: 10.1021/acs.jproteome.8b00708. Epub 2018 Dec 14. J Proteome Res. 2019. PMID: 30511867

3

moFF: a robust and automated approach to extract peptide ion intensities.

Argentini A, Goeminne LJ, Verheggen K, Hulstaert N, Staes A, Clement L, Martens L. Argentini A, et al. Nat Methods. 2016 Nov 29;13(12):964-966. doi: 10.1038/nmeth.4075. Nat Methods. 2016. PMID: 27898063 No abstract available.

4

Precursor Intensity-Based Label-Free Quantification Software Tools for Proteomic and Multi-Omic Analysis within the Galaxy Platform.

Mehta S, Easterly CW, Sajulga R, Millikin RJ, Argentini A, Eguinoa I, Martens L, Shortreed MR, Smith LM, McGowan T, Kumar P, Johnson JE, Griffin TJ, Jagtap PD. Mehta S, et al. Among authors: argentini a. Proteomes. 2020 Jul 8;8(3):15. doi: 10.3390/proteomes8030015. Proteomes. 2020. PMID: 32650610 Free PMC article.

5

Development and Optimization of a Subtraction-Normalized Immunocyte Profiling Signature for Prostate Cancer Active Surveillance Risk Stratification.

Van Neste L, Henao R, Wojno KJ, Signes J, DeHart J, Busta A, Marriott E, Willing M, Argentini A, Hurley PM, Korman H, Hafron J, Putzi M, Pieczonka CM, Karsh LI, Morris DS, Kassis AI, Kantoff PW. Van Neste L, et al. Among authors: argentini a. J Urol. 2024 Mar;211(3):415-425. doi: 10.1097/JU.0000000000003824. Epub 2023 Dec 26. J Urol. 2024. PMID: 38147400

6

Summarization vs Peptide-Based Models in Label-Free Quantitative Proteomics: Performance, Pitfalls, and Data Analysis Guidelines.

Goeminne LJ, Argentini A, Martens L, Clement L. Goeminne LJ, et al. Among authors: argentini a. J Proteome Res. 2015 Jun 5;14(6):2457-65. doi: 10.1021/pr501223t. Epub 2015 May 7. J Proteome Res. 2015. PMID: 25827922

7

Open-Source, Platform-Independent Library and Online Scripting Environment for Accessing Thermo Scientific RAW Files.

Kelchtermans P, Silva AS, Argentini A, Staes A, Vandenbussche J, Laukens K, Valkenborg D, Martens L. Kelchtermans P, et al. Among authors: argentini a. J Proteome Res. 2015 Nov 6;14(11):4940-3. doi: 10.1021/acs.jproteome.5b00778. Epub 2015 Oct 29. J Proteome Res. 2015. PMID: 26477298

8

About neighborhood counting measure metric and minimum risk metric.

Argentini A, Blanzieri E. Argentini A, et al. IEEE Trans Pattern Anal Mach Intell. 2010 Apr;32(4):763-5; discussion 766-8. doi: 10.1109/TPAMI.2009.69. IEEE Trans Pattern Anal Mach Intell. 2010. PMID: 20224130

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