331 related articles for article (PubMed ID: 16873463)
1. Semi-supervised LC/MS alignment for differential proteomics.
Fischer B; Grossmann J; Roth V; Gruissem W; Baginsky S; Buhmann JM
Bioinformatics; 2006 Jul; 22(14):e132-40. PubMed ID: 16873463
[TBL] [Abstract][Full Text] [Related]
2. Automated image alignment for 2D gel electrophoresis in a high-throughput proteomics pipeline.
Dowsey AW; Dunn MJ; Yang GZ
Bioinformatics; 2008 Apr; 24(7):950-7. PubMed ID: 18310057
[TBL] [Abstract][Full Text] [Related]
3. A geometric approach for the alignment of liquid chromatography-mass spectrometry data.
Lange E; Gröpl C; Schulz-Trieglaff O; Leinenbach A; Huber C; Reinert K
Bioinformatics; 2007 Jul; 23(13):i273-81. PubMed ID: 17646306
[TBL] [Abstract][Full Text] [Related]
4. Data pre-processing in liquid chromatography-mass spectrometry-based proteomics.
Zhang X; Asara JM; Adamec J; Ouzzani M; Elmagarmid AK
Bioinformatics; 2005 Nov; 21(21):4054-9. PubMed ID: 16150809
[TBL] [Abstract][Full Text] [Related]
5. Comparative evaluation of mass spectrometry platforms used in large-scale proteomics investigations.
Elias JE; Haas W; Faherty BK; Gygi SP
Nat Methods; 2005 Sep; 2(9):667-75. PubMed ID: 16118637
[TBL] [Abstract][Full Text] [Related]
6. Computational methods for the comparative quantification of proteins in label-free LCn-MS experiments.
Wong JW; Sullivan MJ; Cagney G
Brief Bioinform; 2008 Mar; 9(2):156-65. PubMed ID: 17905794
[TBL] [Abstract][Full Text] [Related]
7. Identification of post-translational modifications by blind search of mass spectra.
Tsur D; Tanner S; Zandi E; Bafna V; Pevzner PA
Nat Biotechnol; 2005 Dec; 23(12):1562-7. PubMed ID: 16311586
[TBL] [Abstract][Full Text] [Related]
8. Intensity-based protein identification by machine learning from a library of tandem mass spectra.
Elias JE; Gibbons FD; King OD; Roth FP; Gygi SP
Nat Biotechnol; 2004 Feb; 22(2):214-9. PubMed ID: 14730315
[TBL] [Abstract][Full Text] [Related]
9. Integration of two-dimensional LC-MS with multivariate statistics for comparative analysis of proteomic samples.
Gaspari M; Verhoeckx KC; Verheij ER; van der Greef J
Anal Chem; 2006 Apr; 78(7):2286-96. PubMed ID: 16579610
[TBL] [Abstract][Full Text] [Related]
10. Valid data from large-scale proteomics studies.
Chamrad D; Meyer HE
Nat Methods; 2005 Sep; 2(9):647-8. PubMed ID: 16118632
[No Abstract] [Full Text] [Related]
11. Using cross-correlation normalized for peptide length to optimize peptide identification in shotgun proteomics.
Yang B; Ying W; Gong Y; Zhang Y; Cai Y; Dong H; Qian X
Rapid Commun Mass Spectrom; 2005; 19(20):2983-5. PubMed ID: 16178048
[No Abstract] [Full Text] [Related]
12. Retention time alignment algorithms for LC/MS data must consider non-linear shifts.
Podwojski K; Fritsch A; Chamrad DC; Paul W; Sitek B; Stühler K; Mutzel P; Stephan C; Meyer HE; Urfer W; Ickstadt K; Rahnenführer J
Bioinformatics; 2009 Mar; 25(6):758-64. PubMed ID: 19176558
[TBL] [Abstract][Full Text] [Related]
13. Phosphoproteomics by mass spectrometry and classical protein chemistry approaches.
Salih E
Mass Spectrom Rev; 2005; 24(6):828-46. PubMed ID: 15538747
[TBL] [Abstract][Full Text] [Related]
14. Probability-based pattern recognition and statistical framework for randomization: modeling tandem mass spectrum/peptide sequence false match frequencies.
Feng J; Naiman DQ; Cooper B
Bioinformatics; 2007 Sep; 23(17):2210-7. PubMed ID: 17510167
[TBL] [Abstract][Full Text] [Related]
15. A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MS.
Bellew M; Coram M; Fitzgibbon M; Igra M; Randolph T; Wang P; May D; Eng J; Fang R; Lin C; Chen J; Goodlett D; Whiteaker J; Paulovich A; McIntosh M
Bioinformatics; 2006 Aug; 22(15):1902-9. PubMed ID: 16766559
[TBL] [Abstract][Full Text] [Related]
16. Proteomic mass spectra classification using decision tree based ensemble methods.
Geurts P; Fillet M; de Seny D; Meuwis MA; Malaise M; Merville MP; Wehenkel L
Bioinformatics; 2005 Jul; 21(14):3138-45. PubMed ID: 15890743
[TBL] [Abstract][Full Text] [Related]
17. Independent component analysis for the extraction of reliable protein signal profiles from MALDI-TOF mass spectra.
Mantini D; Petrucci F; Del Boccio P; Pieragostino D; Di Nicola M; Lugaresi A; Federici G; Sacchetta P; Di Ilio C; Urbani A
Bioinformatics; 2008 Jan; 24(1):63-70. PubMed ID: 18003646
[TBL] [Abstract][Full Text] [Related]
18. Semi-supervised learning for peptide identification from shotgun proteomics datasets.
Käll L; Canterbury JD; Weston J; Noble WS; MacCoss MJ
Nat Methods; 2007 Nov; 4(11):923-5. PubMed ID: 17952086
[TBL] [Abstract][Full Text] [Related]
19. MassUntangler: a novel alignment tool for label-free liquid chromatography-mass spectrometry proteomic data.
Ballardini R; Benevento M; Arrigoni G; Pattini L; Roda A
J Chromatogr A; 2011 Dec; 1218(49):8859-68. PubMed ID: 21783198
[TBL] [Abstract][Full Text] [Related]
20. Visual analysis of gel-free proteome data.
Linsen L; Löcherbach J; Berth M; Becher D; Bernhardt J
IEEE Trans Vis Comput Graph; 2006; 12(4):497-508. PubMed ID: 16805259
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]