Search For:

Displaying 1-7 out of 7 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...
 
Evaluation of normalization methods for analysis of LC-MS data
Found in: 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)
By Mohammad R. Nezami Ranjbar,Yi Zhao,Mahlet G. Tadesse,Yue Wang,Habtom W. Ressom
Issue Date:October 2012
pp. 610-617
The purpose of normalization of data generated by liquid chromatography coupled with mass spectrometry (LC-MS) is to reduce bias due to differences in sample collection, biomolecule extraction, and instrument variability. In this paper several normalizatio...
 
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...
 
Reconstructing biological networks using low order partial correlation
Found in: 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
By Yiming Zuo,Guoqiang Yu,Mahlet G. Tadesse,Habtom W Ressom
Issue Date:December 2013
pp. 171-175
One major challenge of systems biology is to infer biological networks. Classical graphical modeling methods that measure full conditional relationships between random variables may lead to unreliable results. This is partly due to the singular matrix prob...
   
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...
     
 1