Mahlet G. Tadesse

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 6

Top Topics

Prior Knowledge

Hierarchical Models

Gene Regulation

Quantitative Analysis

Top Venues

BMC Medical Informatics Decis. Mak.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

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)
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)
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) (2020)
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)
Marie Denis, Mahlet G. Tadesse
Evaluation of hierarchical models for integrative genomic analyses. Bioinform. 32 (5) (2016)
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)
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) (2015)
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) (2013)
Yiming Zuo, Guoqiang Yu, Mahlet G. Tadesse, Habtom W. Ressom
Reconstructing biological networks using low order partial correlation. BIBM (2013)
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)
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) (2013)
Jinlian Wang, Hongyan Yuan, Mahlet G. Tadesse, Habtom W. Ressom
Integration of multiple data sources for identifying functional modules using Bayesian network. GENSiPS (2012)
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)
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)
Mohammad R. Nezami Ranjbar, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom
Normalization of LC-MS data using Gaussian process. GENSiPS (2012)
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) (2011)
Tsung-Heng Tsai, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom
Bayesian Alignment Model for LC-MS Data. BIBM (2011)
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) (2009)
Getachew K. Befekadu, Mahlet G. Tadesse, Habtom W. Ressom
Probabilistic-Based Mixture Regression Models for Multi-Class Alignment of LC-MS Data. BIOCOMP (2008)
Naijun Sha, Mahlet G. Tadesse, Marina Vannucci
Bayesian variable selection for the analysis of microarray data with censored outcomes. Bioinform. 22 (18) (2006)
Mahlet G. Tadesse, Marina Vannucci, Pietro Liò
Identification of DNA regulatory motifs using Bayesian variable selection. Bioinform. 20 (16) (2004)