These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 33104352)

  • 41. High-throughput, in-depth and estimated absolute quantification of plasma proteome using data-independent acquisition/mass spectrometry ("HIAP-DIA").
    Zhou Y; Tan Z; Xue P; Wang Y; Li X; Guan F
    Proteomics; 2021 Mar; 21(5):e2000264. PubMed ID: 33460299
    [TBL] [Abstract][Full Text] [Related]  

  • 42. DeepDetect: Deep Learning of Peptide Detectability Enhanced by Peptide Digestibility and Its Application to DIA Library Reduction.
    Yang J; Cheng Z; Gong F; Fu Y
    Anal Chem; 2023 Apr; 95(15):6235-6243. PubMed ID: 36908083
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Data-Independent Acquisition Coupled to Visible Laser-Induced Dissociation at 473 nm (DIA-LID) for Peptide-Centric Specific Analysis of Cysteine-Containing Peptide Subset.
    Garcia L; Girod M; Rompais M; Dugourd P; Carapito C; Lemoine J
    Anal Chem; 2018 Mar; 90(6):3928-3935. PubMed ID: 29465226
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry.
    Tran NH; Qiao R; Xin L; Chen X; Liu C; Zhang X; Shan B; Ghodsi A; Li M
    Nat Methods; 2019 Jan; 16(1):63-66. PubMed ID: 30573815
    [TBL] [Abstract][Full Text] [Related]  

  • 45. PECAN: library-free peptide detection for data-independent acquisition tandem mass spectrometry data.
    Ting YS; Egertson JD; Bollinger JG; Searle BC; Payne SH; Noble WS; MacCoss MJ
    Nat Methods; 2017 Sep; 14(9):903-908. PubMed ID: 28783153
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Untargeted, spectral library-free analysis of data-independent acquisition proteomics data generated using Orbitrap mass spectrometers.
    Tsou CC; Tsai CF; Teo GC; Chen YJ; Nesvizhskii AI
    Proteomics; 2016 Aug; 16(15-16):2257-71. PubMed ID: 27246681
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Specter: linear deconvolution for targeted analysis of data-independent acquisition mass spectrometry proteomics.
    Peckner R; Myers SA; Jacome ASV; Egertson JD; Abelin JG; MacCoss MJ; Carr SA; Jaffe JD
    Nat Methods; 2018 May; 15(5):371-378. PubMed ID: 29608554
    [TBL] [Abstract][Full Text] [Related]  

  • 48. One Sample, One Shot - Evaluation of sample preparation protocols for the mass spectrometric proteome analysis of human bile fluid without extensive fractionation.
    Megger DA; Padden J; Rosowski K; Uszkoreit J; Bracht T; Eisenacher M; Gerges C; Neuhaus H; Schumacher B; Schlaak JF; Sitek B
    J Proteomics; 2017 Feb; 154():13-21. PubMed ID: 27932303
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Alpha-XIC: a deep neural network for scoring the coelution of peak groups improves peptide identification by data-independent acquisition mass spectrometry.
    Song J; Yu C
    Bioinformatics; 2021 Dec; 38(1):38-43. PubMed ID: 34398181
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Deep learning approaches for data-independent acquisition proteomics.
    Yang Y; Lin L; Qiao L
    Expert Rev Proteomics; 2021 Dec; 18(12):1031-1043. PubMed ID: 34918987
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Clinical applications of mass spectrometry-based proteomics in cancer: Where are we?
    Boys EL; Liu J; Robinson PJ; Reddel RR
    Proteomics; 2023 Apr; 23(7-8):e2200238. PubMed ID: 35968695
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Machine Learning in Mass Spectrometric Analysis of DIA Data.
    Xu LL; Young A; Zhou A; Röst HL
    Proteomics; 2020 Nov; 20(21-22):e1900352. PubMed ID: 32061181
    [TBL] [Abstract][Full Text] [Related]  

  • 53. mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometry.
    Teo G; Kim S; Tsou CC; Collins B; Gingras AC; Nesvizhskii AI; Choi H
    J Proteomics; 2015 Nov; 129():108-120. PubMed ID: 26381204
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Mascot file parsing and quantification (MFPaQ), a new software to parse, validate, and quantify proteomics data generated by ICAT and SILAC mass spectrometric analyses: application to the proteomics study of membrane proteins from primary human endothelial cells.
    Bouyssié D; Gonzalez de Peredo A; Mouton E; Albigot R; Roussel L; Ortega N; Cayrol C; Burlet-Schiltz O; Girard JP; Monsarrat B
    Mol Cell Proteomics; 2007 Sep; 6(9):1621-37. PubMed ID: 17533220
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Effect of peptide assay library size and composition in targeted data-independent acquisition-MS analyses.
    Parker SJ; Venkatraman V; Van Eyk JE
    Proteomics; 2016 Aug; 16(15-16):2221-37. PubMed ID: 27432805
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Protein Biomarker Discovery in Non-depleted Serum by Spectral Library-Based Data-Independent Acquisition Mass Spectrometry.
    Kraut A; Louwagie M; Bruley C; Masselon C; Couté Y; Brun V; Hesse AM
    Methods Mol Biol; 2019; 1959():129-150. PubMed ID: 30852820
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics.
    Lou R; Cao Y; Li S; Lang X; Li Y; Zhang Y; Shui W
    Nat Commun; 2023 Jan; 14(1):94. PubMed ID: 36609502
    [TBL] [Abstract][Full Text] [Related]  

  • 58. DIA proteomics data from a UPS1-spiked
    Gotti C; Roux-Dalvai F; Joly-Beauparlant C; Mangnier L; Leclercq M; Droit A
    Data Brief; 2022 Apr; 41():107829. PubMed ID: 35198661
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Processing strategies and software solutions for data-independent acquisition in mass spectrometry.
    Bilbao A; Varesio E; Luban J; Strambio-De-Castillia C; Hopfgartner G; Müller M; Lisacek F
    Proteomics; 2015 Mar; 15(5-6):964-80. PubMed ID: 25430050
    [TBL] [Abstract][Full Text] [Related]  

  • 60. SWATH2stats: An R/Bioconductor Package to Process and Convert Quantitative SWATH-MS Proteomics Data for Downstream Analysis Tools.
    Blattmann P; Heusel M; Aebersold R
    PLoS One; 2016; 11(4):e0153160. PubMed ID: 27054327
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.