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Items: 1 to 20 of 94

1.

GaborLocal: peak detection in mass spectrum by Gabor filters and Gaussian local maxima.

Nguyen N, Huang H, Oraintara S, Vo A.

Comput Syst Bioinformatics Conf. 2008;7:85-96.

2.

Peak detection in mass spectrometry by Gabor filters and envelope analysis.

Nguyen N, Huang H, Oraintara S, Vo A.

J Bioinform Comput Biol. 2009 Jun;7(3):547-69.

PMID:
19507289
3.

Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet.

Nguyen N, Huang H, Oraintara S, Vo A.

Bioinformatics. 2010 Sep 15;26(18):i659-65. doi: 10.1093/bioinformatics/btq397.

4.

Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching.

Du P, Kibbe WA, Lin SM.

Bioinformatics. 2006 Sep 1;22(17):2059-65. Epub 2006 Jul 4.

PMID:
16820428
5.

Reversible jump MCMC approach for peak identification for stroke SELDI mass spectrometry using mixture model.

Wang Y, Zhou X, Wang H, Li K, Yao L, Wong ST.

Bioinformatics. 2008 Jul 1;24(13):i407-13. doi: 10.1093/bioinformatics/btn143.

6.

Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis.

Yang C, He Z, Yu W.

BMC Bioinformatics. 2009 Jan 6;10:4. doi: 10.1186/1471-2105-10-4.

7.

Using dynamic programming to create isotopic distribution maps from mass spectra.

McIlwain S, Page D, Huttlin EL, Sussman MR.

Bioinformatics. 2007 Jul 1;23(13):i328-36.

PMID:
17646314
8.

A dynamic programming approach for the alignment of signal peaks in multiple gas chromatography-mass spectrometry experiments.

Robinson MD, De Souza DP, Keen WW, Saunders EC, McConville MJ, Speed TP, Likić VA.

BMC Bioinformatics. 2007 Oct 29;8:419.

9.

Improved model-based, platform-independent feature extraction for mass spectrometry.

Noy K, Fasulo D.

Bioinformatics. 2007 Oct 1;23(19):2528-35. Epub 2007 Aug 13.

PMID:
17698491
10.

Effective peak alignment for mass spectrometry data analysis using two-phase clustering approach.

Liu YC, Chen LC, Liu CW, Tseng VS.

Int J Data Min Bioinform. 2014;9(1):52-66.

PMID:
24783408
11.

Bayesian analysis of mass spectrometry proteomic data using wavelet-based functional mixed models.

Morris JS, Brown PJ, Herrick RC, Baggerly KA, Coombes KR.

Biometrics. 2008 Jun;64(2):479-89. Epub 2007 Sep 20.

12.
13.

Multispectra CWT-based algorithm (MCWT) in mass spectra for peak extraction.

Hsueh HM, Kuo HC, Tsai CA.

J Biopharm Stat. 2008;18(5):869-82. doi: 10.1080/10543400802278064.

PMID:
18781522
14.

Efficient peak-labeling algorithms for whole-sample mass spectrometry proteomics.

Pelikan R, Hauskrecht M.

IEEE/ACM Trans Comput Biol Bioinform. 2010 Jan-Mar;7(1):126-37. doi: 10.1109/TCBB.2008.31.

PMID:
20150675
15.

Simultaneous localized feature selection and model detection for gaussian mixtures.

Li Y, Dong M, Hua J.

IEEE Trans Pattern Anal Mach Intell. 2009 May;31(5):953-60. doi: 10.1109/TPAMI.2008.261.

PMID:
19299867
16.

Improving mass spectrometry peak detection using multiple peak alignment results.

Yu W, He Z, Liu J, Zhao H.

J Proteome Res. 2008 Jan;7(1):123-9. Epub 2007 Nov 22.

PMID:
18030999
17.

Utlization of human expert techniques for detection of low-abundant peaks in high-resolution mass spectra.

Boratyn GM, Merchant ML, Klein JB.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:5798-801.

PMID:
17947169
18.

A parsimonious threshold-independent protein feature selection method through the area under receiver operating characteristic curve.

Wang Z, Chang YC, Ying Z, Zhu L, Yang Y.

Bioinformatics. 2007 Oct 15;23(20):2788-94. Epub 2007 Sep 18.

PMID:
17878205
19.

Algorithms for automatic interpretation of high resolution mass spectra.

Kaur P, O'Connor PB.

J Am Soc Mass Spectrom. 2006 Mar;17(3):459-68. Epub 2006 Feb 7.

20.

Bayesian estimation for molecular profile reconstruction in proteomics based on liquid chromatography and mass spectrometry.

Strubel G, Giovannelli JF, Paulus C, Gerfault L, Grangeat P.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5980-3.

PMID:
18003376

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