Mahlet G. Tadesse

Mahlet G. Tadesse

Georgetown University

H-index: 39

North America-United States

About Mahlet G. Tadesse

Mahlet G. Tadesse, With an exceptional h-index of 39 and a recent h-index of 25 (since 2020), a distinguished researcher at Georgetown University, specializes in the field of Bayesian inference, genomics, Markov chain Monte Carlo, mixture models, variable selection.

His recent articles reflect a diverse array of research interests and contributions to the field:

The cofactor-dependent folding mechanism of Drosophila cryptochrome revealed by single-molecule pulling experiments

Clustering with variable selection for longitudinal data: application to gene expression data

Bayesian Approach Integrating Prior Knowledge for Identifying miRNA-mRNA Interactions in Hepatocellular Carcinoma

Graph-structured variable selection with Gaussian Markov random field horseshoe prior

Single-molecule dissection of coupling mechanisms between cofactor binding and folding of a complex protein

Maternal-fetal genetic interactions, imprinting, and risk of placental abruption

A Bayesian two-step integrative procedure incorporating prior knowledge for the identification of miRNA-mRNAs involved in hepatocellular carcinoma

The cofactor-dependent folding energy landscape of a light-sensing protein revealed by single-molecule pulling experiments

Mahlet G. Tadesse Information

University

Position

Professor

Citations(all)

5809

Citations(since 2020)

2845

Cited By

4072

hIndex(all)

39

hIndex(since 2020)

25

i10Index(all)

70

i10Index(since 2020)

49

Email

University Profile Page

Georgetown University

Google Scholar

View Google Scholar Profile

Mahlet G. Tadesse Skills & Research Interests

Bayesian inference

genomics

Markov chain Monte Carlo

mixture models

variable selection

Top articles of Mahlet G. Tadesse

Title

Journal

Author(s)

Publication Date

The cofactor-dependent folding mechanism of Drosophila cryptochrome revealed by single-molecule pulling experiments

Nature Communications

Sahar Foroutannejad

Lydia L Good

Changfan Lin

Zachariah I Carter

Mahlet G Tadesse

...

2023/2/24

Clustering with variable selection for longitudinal data: application to gene expression data

Marie Denis

Mahlet Tadesse

2023

Bayesian Approach Integrating Prior Knowledge for Identifying miRNA-mRNA Interactions in Hepatocellular Carcinoma

Yichen Guo

Marie Denis

Rency S Varghese

Sidharth S Jain

Mahlet G Tadesse

...

2023/12/5

Graph-structured variable selection with Gaussian Markov random field horseshoe prior

Marie Denis

Mahlet G Tadesse

2023/9/12

Single-molecule dissection of coupling mechanisms between cofactor binding and folding of a complex protein

Biophysical Journal

Sahar Foroutannejad

Lydia Good

Craig Manahan

Zachariah Ingram

Changfan Lin

...

2022/2/11

Maternal-fetal genetic interactions, imprinting, and risk of placental abruption

The Journal of Maternal-Fetal & Neonatal Medicine

Tsegaselassie Workalemahu

Daniel A Enquobahrie

Bizu Gelaye

Mahlet G Tadesse

Sixto E Sanchez

...

2022/9/17

A Bayesian two-step integrative procedure incorporating prior knowledge for the identification of miRNA-mRNAs involved in hepatocellular carcinoma

Marie Denis

Rency S Varghese

Megan E Barefoot

Mahlet G Tadesse

Habtom W Ressom

2022/7/11

The cofactor-dependent folding energy landscape of a light-sensing protein revealed by single-molecule pulling experiments

Rodrigo Maillard

Sahar Foroutannejad

Lydia Good

Changfan Lin

Zachariah Ingram

...

2022/2/24

Bayesian statistics and modelling

Rens van de Schoot

Sarah Depaoli

Ruth King

Bianca Kramer

Kaspar Märtens

...

2021/1/14

Stochastic Partitioning for Variable Selection in Multivariate Mixture of Regression Models

Stefano Monni

Mahlet G Tadesse

2021/12/24

Handbook of bayesian variable selection

Mahlet G Tadesse

Marina Vannucci

2021/12/24

Integrative analysis of DNA methylation and microRNA expression reveals mechanisms of racial heterogeneity in hepatocellular carcinoma

Frontiers in genetics

Rency S Varghese

Megan E Barefoot

Sidharth Jain

Yifan Chen

Yunxi Zhang

...

2021/9/7

Race and patient-reported symptoms in adherence to adjuvant endocrine therapy: a report from the women's hormonal initiation and persistence study

Cancer Epidemiology, Biomarkers & Prevention

Vanessa B Sheppard

Arnethea L Sutton

Alejandra Hurtado-de-Mendoza

Jun He

Bassam Dahman

...

2021/4/1

Bayesian variable selection for high dimensional predictors and self-reported outcomes

BMC medical informatics and decision making

Xiangdong Gu

Mahlet G Tadesse

Andrea S Foulkes

Yunsheng Ma

Raji Balasubramanian

2020/12

Identification of miRNA-mRNA associations in hepatocellular carcinoma using hierarchical integrative model

BMC medical genomics

Rency S Varghese

Yuan Zhou

Megan Barefoot

Yifan Chen

Cristina Di Poto

...

2020/12

Epigenetic changes associated with mechanisms of disparities in hepatocellular carcinoma

Rency S Varghese

Yuan Zhou

Yifan Chen

Megan E Barefoot

Mahlet Tadesse

...

2020/7/20

Abstract A076: Adherence to adjuvant endocrine therapy: Do racial disparities persist among the insured?

Cancer Epidemiology, Biomarkers & Prevention

Dennis Tolsma

Mahlet G Tadesse

Arnethea Sutton

Lee Cromwell

Georges Adunlin

...

2020/6/1

See List of Professors in Mahlet G. Tadesse University(Georgetown University)