BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

298 related articles for article (PubMed ID: 23176207)

  • 1. False discovery rates in spectral identification.
    Jeong K; Kim S; Bandeira N
    BMC Bioinformatics; 2012; 13 Suppl 16(Suppl 16):S2. PubMed ID: 23176207
    [TBL] [Abstract][Full Text] [Related]  

  • 2. In-depth analysis of protein inference algorithms using multiple search engines and well-defined metrics.
    Audain E; Uszkoreit J; Sachsenberg T; Pfeuffer J; Liang X; Hermjakob H; Sanchez A; Eisenacher M; Reinert K; Tabb DL; Kohlbacher O; Perez-Riverol Y
    J Proteomics; 2017 Jan; 150():170-182. PubMed ID: 27498275
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Target-decoy approach and false discovery rate: when things may go wrong.
    Gupta N; Bandeira N; Keich U; Pevzner PA
    J Am Soc Mass Spectrom; 2011 Jul; 22(7):1111-20. PubMed ID: 21953092
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Transferred subgroup false discovery rate for rare post-translational modifications detected by mass spectrometry.
    Fu Y; Qian X
    Mol Cell Proteomics; 2014 May; 13(5):1359-68. PubMed ID: 24200586
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Analysis of the resolution limitations of peptide identification algorithms.
    Colaert N; Degroeve S; Helsens K; Martens L
    J Proteome Res; 2011 Dec; 10(12):5555-61. PubMed ID: 21995378
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Unbiased False Discovery Rate Estimation for Shotgun Proteomics Based on the Target-Decoy Approach.
    Levitsky LI; Ivanov MV; Lobas AA; Gorshkov MV
    J Proteome Res; 2017 Feb; 16(2):393-397. PubMed ID: 27959540
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MSblender: A probabilistic approach for integrating peptide identifications from multiple database search engines.
    Kwon T; Choi H; Vogel C; Nesvizhskii AI; Marcotte EM
    J Proteome Res; 2011 Jul; 10(7):2949-58. PubMed ID: 21488652
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improving sensitivity in proteome studies by analysis of false discovery rates for multiple search engines.
    Jones AR; Siepen JA; Hubbard SJ; Paton NW
    Proteomics; 2009 Mar; 9(5):1220-9. PubMed ID: 19253293
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparative database search engine analysis on massive tandem mass spectra of pork-based food products for halal proteomics.
    Amir SH; Yuswan MH; Aizat WM; Mansor MK; Desa MNM; Yusof YA; Song LK; Mustafa S
    J Proteomics; 2021 Jun; 241():104240. PubMed ID: 33894373
    [TBL] [Abstract][Full Text] [Related]  

  • 10. False Discovery Rate Estimation for Hybrid Mass Spectral Library Search Identifications in Bottom-up Proteomics.
    Burke MC; Zhang Z; Mirokhin YA; Tchekovskoi DV; Liang Y; Stein SE
    J Proteome Res; 2019 Sep; 18(9):3223-3234. PubMed ID: 31364354
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Search and decoy: the automatic identification of mass spectra.
    Eisenacher M; Kohl M; Turewicz M; Koch MH; Uszkoreit J; Stephan C
    Methods Mol Biol; 2012; 893():445-88. PubMed ID: 22665317
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Reverse and Random Decoy Methods for False Discovery Rate Estimation in High Mass Accuracy Peptide Spectral Library Searches.
    Zhang Z; Burke M; Mirokhin YA; Tchekhovskoi DV; Markey SP; Yu W; Chaerkady R; Hess S; Stein SE
    J Proteome Res; 2018 Feb; 17(2):846-857. PubMed ID: 29281288
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using the entrapment sequence method as a standard to evaluate key steps of proteomics data analysis process.
    Feng XD; Li LW; Zhang JH; Zhu YP; Chang C; Shu KX; Ma J
    BMC Genomics; 2017 Mar; 18(Suppl 2):143. PubMed ID: 28361671
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improved False Discovery Rate Estimation Procedure for Shotgun Proteomics.
    Keich U; Kertesz-Farkas A; Noble WS
    J Proteome Res; 2015 Aug; 14(8):3148-61. PubMed ID: 26152888
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Two-dimensional target decoy strategy for shotgun proteomics.
    Bern MW; Kil YJ
    J Proteome Res; 2011 Dec; 10(12):5296-301. PubMed ID: 22010998
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Decoy methods for assessing false positives and false discovery rates in shotgun proteomics.
    Wang G; Wu WW; Zhang Z; Masilamani S; Shen RF
    Anal Chem; 2009 Jan; 81(1):146-59. PubMed ID: 19061407
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An improved method for the construction of decoy peptide MS/MS spectra suitable for the accurate estimation of false discovery rates.
    Ahrné E; Ohta Y; Nikitin F; Scherl A; Lisacek F; Müller M
    Proteomics; 2011 Oct; 11(20):4085-95. PubMed ID: 21898822
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Protein Probability Model for High-Throughput Protein Identification by Mass Spectrometry-Based Proteomics.
    Prieto G; Vázquez J
    J Proteome Res; 2020 Mar; 19(3):1285-1297. PubMed ID: 32037837
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Common Decoy Distributions Simplify False Discovery Rate Estimation in Shotgun Proteomics.
    Madej D; Wu L; Lam H
    J Proteome Res; 2022 Feb; 21(2):339-348. PubMed ID: 34989576
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Spectral probabilities and generating functions of tandem mass spectra: a strike against decoy databases.
    Kim S; Gupta N; Pevzner PA
    J Proteome Res; 2008 Aug; 7(8):3354-63. PubMed ID: 18597511
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.