Mahlet G. Tadesse

21 papers Journal 9Unranked 12
YearRankTypeTitle / Venue / Authors
2023 — conf
Bayesian Approach Integrating Prior Knowledge for Identifying miRNA-mRNA Interactions in Hepatocellular Carcinoma.
BIBM
Yichen Guo, Marie Denis, Rency S. Varghese, Sidharth S. Jain, Mahlet G. Tadesse, Habtom W. Ressom
2022 — conf
A Bayesian two-step integrative procedure incorporating prior knowledge for the identification of miRNA-mRNAs involved in hepatocellular carcinoma.
EMBC
Marie Denis, Rency S. Varghese, Megan E. Barefoot, Mahlet G. Tadesse, Habtom W. Ressom
2020 J jnl
Bayesian variable selection for high dimensional predictors and self-reported outcomes.
BMC Medical Informatics Decis. Mak.
Xiangdong Gu, Mahlet G. Tadesse, Andrea S. Foulkes, Yunsheng Ma, Raji Balasubramanian
2020 — conf
Epigenetic changes associated with mechanisms of disparities in hepatocellular carcinoma.
EMBC
Rency S. Varghese, Yuan Zhou, Yifan Chen, Megan E. Barefoot, Mahlet G. Tadesse, Habtom W. Ressom
2016 J jnl
Evaluation of hierarchical models for integrative genomic analyses.
Bioinform.
Marie Denis, Mahlet G. Tadesse
2016 — conf
Multi-omic approaches for characterization of hepatocellular carcinoma.
EMBC
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
2015 J jnl
Bayesian Normalization Model for Label-Free Quantitative Analysis by LC-MS.
IEEE ACM Trans. Comput. Biol. Bioinform.
Mohammad R. Nezami Ranjbar, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom
2013 — conf
An integrated pharmacogenomic analysis of doxorubicin response using genotype information on DMET genes.
BCB
Krithika Bhuvaneshwar, Michael Harris, Thanemozhi Natarajan, Laura Sheahan, Difei Wang, Subha Madhavan, Mahlet G. Tadesse, John Deeken
2013 J jnl
Multi-profile Bayesian alignment model for LC-MS data analysis with integration of internal standards.
Bioinform.
Tsung-Heng Tsai, Mahlet G. Tadesse, Cristina Di Poto, Lewis K. Pannell, Yehia Mechref, Yue Joseph Wang, Habtom W. Ressom
2013 J jnl
Profile-Based LC-MS Data Alignment-A Bayesian Approach.
IEEE ACM Trans. Comput. Biol. Bioinform.
Tsung-Heng Tsai, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom
2013 — conf
Reconstructing biological networks using low order partial correlation.
BIBM
Yiming Zuo, Guoqiang Yu, Mahlet G. Tadesse, Habtom W. Ressom
2012 — conf
Evaluation of normalization methods for analysis of LC-MS data.
BIBM Workshops
Mohammad R. Nezami Ranjbar, Yi Zhao, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom
2012 — conf
Integration of multiple data sources for identifying functional modules using Bayesian network.
GENSiPS
Jinlian Wang, Hongyan Yuan, Mahlet G. Tadesse, Habtom W. Ressom
2012 — conf
Normalization of LC-MS data using Gaussian process.
GENSiPS
Mohammad R. Nezami Ranjbar, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom
2012 — conf
Variability assessment of LC-MS experiments and its application to experimental design and difference detection.
GENSiPS
Yi Zhao, Tsung-Heng Tsai, Cristina Di Poto, Lewis K. Pannell, Mahlet G. Tadesse, Habtom W. Ressom
2011 — conf
Bayesian Alignment Model for LC-MS Data.
BIBM
Tsung-Heng Tsai, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom
2011 J jnl
Probabilistic Mixture Regression Models for Alignment of LC-MS Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Getachew K. Befekadu, Mahlet G. Tadesse, Tsung-Heng Tsai, Habtom W. Ressom
2009 J jnl
Analysis of LC-MS Data Using probabilitic-based mixture regression models (Analyse von LC-MS-Daten mit wahrscheinlichkeitsbasierter Mischung von Regressionsmodellen).
Autom.
Habtom W. Ressom, Getachew K. Befekadu, Mahlet G. Tadesse
2008 — conf
Probabilistic-Based Mixture Regression Models for Multi-Class Alignment of LC-MS Data.
BIOCOMP
Getachew K. Befekadu, Mahlet G. Tadesse, Habtom W. Ressom
2006 J jnl
Bayesian variable selection for the analysis of microarray data with censored outcomes.
Bioinform.
Naijun Sha, Mahlet G. Tadesse, Marina Vannucci
2004 J jnl
Identification of DNA regulatory motifs using Bayesian variable selection.
Bioinform.
Mahlet G. Tadesse, Marina Vannucci, Pietro Liò