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Displaying 1-6 out of 6 total
Profile-Based LC-MS Data Alignment - A Bayesian Approach
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Tsung-Heng Tsai,Mahlet G. Tadesse, Yue Wang,Habtom W. Ressom
Issue Date:March 2013
pp. 494-503
A Bayesian alignment model (BAM) is proposed for alignment of liquid chromatography-mass spectrometry (LC-MS) data. BAM belongs to the category of profile-based approaches, which are composed of two major components: a prototype function and a set of mappi...
 
Bayesian Alignment Model for LC-MS Data
Found in: Bioinformatics and Biomedicine, IEEE International Conference on
By Tsung-Heng Tsai,Mahlet G. Tadesse,Yue Wang,Habtom W. Ressom
Issue Date:November 2011
pp. 261-264
A Bayesian alignment model (BAM) is proposed for alignment of liquid chromatography-mass spectrometry (LC-MS) data. BAM is composed of two important components: prototype function and mapping function. Estimation of both functions is crucial for the alignm...
 
Probabilistic Mixture Regression Models for Alignment of LC-MS Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Getachew K. Befekadu,Mahlet G. Tadesse,Tsung-Heng Tsai,Habtom W. Ressom
Issue Date:September 2011
pp. 1417-1424
A novel framework of a probabilistic mixture regression model (PMRM) is presented for alignment of liquid chromatography-mass spectrometry (LC-MS) data with respect to retention time (RT) points. The expectation maximization algorithm is used to estimate t...
 
A Multiscale Approach for Surface-enhanced Raman Spectroscopy (SERS) Spectrum Representation and its Application to Bacterial Discrimination
Found in: BioMedical Engineering and Informatics, International Conference on
By Tsung-Heng Tsai, Ting-Ting Liu, Yung-Ching Huang, Yu Chen, Tian-Jiun Liu, You-Hsuan Lin, Yuh-Lin Wang, Juen-Kai Wang, Da-Wei Wang
Issue Date:May 2008
pp. 328-333
A multiscale approach for peak representation and identification is proposed in the context of surface-enhanced Raman spectroscopy (SERS). The SERS spectrum is naturally composed of peaks with different preferred scales, and some tiny but reproducible peak...
 
Profile-Based LC-MS Data Alignment--A Bayesian Approach
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Habtom W. Ressom, Mahlet G. Tadesse, Tsung-Heng Tsai, Yue Wang
Issue Date:March 2013
pp. 494-503
A Bayesian alignment model (BAM) is proposed for alignment of liquid chromatography-mass spectrometry (LC-MS) data. BAM belongs to the category of profile-based approaches, which are composed of two major components: a prototype function and a set of mappi...
     
Probabilistic Mixture Regression Models for Alignment of LC-MS Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Getachew K. Befekadu, Habtom W. Ressom, Mahlet G. Tadesse, Tsung-Heng Tsai
Issue Date:September 2011
pp. 1417-1424
A novel framework of a probabilistic mixture regression model (PMRM) is presented for alignment of liquid chromatography-mass spectrometry (LC-MS) data with respect to retention time (RT) points. The expectation maximization algorithm is used to estimate t...
     
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