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Mahlet G. Tadesse
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2020 – today
- 2023
- [c12]Yichen Guo, Marie Denis, Rency S. Varghese, Sidharth S. Jain, Mahlet G. Tadesse, Habtom W. Ressom:
Bayesian Approach Integrating Prior Knowledge for Identifying miRNA-mRNA Interactions in Hepatocellular Carcinoma. BIBM 2023: 3768-3774 - 2022
- [c11]Marie Denis, Rency S. Varghese, Megan E. Barefoot, Mahlet G. Tadesse, Habtom W. Ressom:
A Bayesian two-step integrative procedure incorporating prior knowledge for the identification of miRNA-mRNAs involved in hepatocellular carcinoma. EMBC 2022: 81-86 - 2020
- [j9]Xiangdong Gu, Mahlet G. Tadesse, Andrea S. Foulkes, Yunsheng Ma, Raji Balasubramanian:
Bayesian variable selection for high dimensional predictors and self-reported outcomes. BMC Medical Informatics Decis. Mak. 20(1): 212 (2020) - [c10]Rency S. Varghese, Yuan Zhou, Yifan Chen, Megan E. Barefoot, Mahlet G. Tadesse, Habtom W. Ressom:
Epigenetic changes associated with mechanisms of disparities in hepatocellular carcinoma. EMBC 2020: 5320-5325
2010 – 2019
- 2016
- [j8]Marie Denis, Mahlet G. Tadesse:
Evaluation of hierarchical models for integrative genomic analyses. Bioinform. 32(5): 738-746 (2016) - [c9]Habtom W. Ressom, Cristina Di Poto, Alessia Ferrarini
, Yunli Hu, Mohammad R. Nezami Ranjbar, Ehwang Song, Rency S. Varghese, Minkun Wang, Shiyue Zhou, Rui Zhu, Yiming Zuo, Mahlet G. Tadesse, Yehia Mechref
:
Multi-omic approaches for characterization of hepatocellular carcinoma. EMBC 2016: 3437-3440 - 2015
- [j7]Mohammad R. Nezami Ranjbar, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom:
Bayesian Normalization Model for Label-Free Quantitative Analysis by LC-MS. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 914-927 (2015) - 2013
- [j6]Tsung-Heng Tsai
, Mahlet G. Tadesse, Cristina Di Poto, Lewis K. Pannell, Yehia Mechref
, Yue Joseph Wang, Habtom W. Ressom:
Multi-profile Bayesian alignment model for LC-MS data analysis with integration of internal standards. Bioinform. 29(21): 2774-2780 (2013) - [j5]Tsung-Heng Tsai
, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom:
Profile-Based LC-MS Data Alignment-A Bayesian Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 494-503 (2013) - [c8]Krithika Bhuvaneshwar
, Michael Harris, Thanemozhi Natarajan
, Laura Sheahan, Difei Wang, Subha Madhavan, Mahlet G. Tadesse, John Deeken:
An integrated pharmacogenomic analysis of doxorubicin response using genotype information on DMET genes. BCB 2013: 657 - [c7]Yiming Zuo, Guoqiang Yu, Mahlet G. Tadesse, Habtom W. Ressom:
Reconstructing biological networks using low order partial correlation. BIBM 2013: 171-175 - 2012
- [c6]Mohammad R. Nezami Ranjbar, Yi Zhao, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom:
Evaluation of normalization methods for analysis of LC-MS data. BIBM Workshops 2012: 610-617 - [c5]Jinlian Wang, Hongyan Yuan, Mahlet G. Tadesse, Habtom W. Ressom:
Integration of multiple data sources for identifying functional modules using Bayesian network. GENSiPS 2012: 13-17 - [c4]Mohammad R. Nezami Ranjbar, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom:
Normalization of LC-MS data using Gaussian process. GENSiPS 2012: 187-190 - [c3]Yi Zhao, Tsung-Heng Tsai, Cristina Di Poto, Lewis K. Pannell, Mahlet G. Tadesse, Habtom W. Ressom:
Variability assessment of LC-MS experiments and its application to experimental design and difference detection. GENSiPS 2012: 195-198 - 2011
- [j4]Getachew K. Befekadu
, Mahlet G. Tadesse, Tsung-Heng Tsai
, Habtom W. Ressom:
Probabilistic Mixture Regression Models for Alignment of LC-MS Data. IEEE ACM Trans. Comput. Biol. Bioinform. 8(5): 1417-1424 (2011) - [c2]Tsung-Heng Tsai, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom:
Bayesian Alignment Model for LC-MS Data. BIBM 2011: 261-264
2000 – 2009
- 2009
- [j3]Habtom W. Ressom, Getachew K. Befekadu
, Mahlet G. Tadesse:
Analysis of LC-MS Data Using probabilitic-based mixture regression models (Analyse von LC-MS-Daten mit wahrscheinlichkeitsbasierter Mischung von Regressionsmodellen). Autom. 57(9): 453-465 (2009) - 2008
- [c1]Getachew K. Befekadu, Mahlet G. Tadesse, Habtom W. Ressom:
Probabilistic-Based Mixture Regression Models for Multi-Class Alignment of LC-MS Data. BIOCOMP 2008: 368-373 - 2006
- [j2]Naijun Sha, Mahlet G. Tadesse, Marina Vannucci:
Bayesian variable selection for the analysis of microarray data with censored outcomes. Bioinform. 22(18): 2262-2268 (2006) - 2004
- [j1]Mahlet G. Tadesse, Marina Vannucci, Pietro Liò:
Identification of DNA regulatory motifs using Bayesian variable selection. Bioinform. 20(16): 2553-2561 (2004)
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