Research Portfolio

Social networks for improving clinical trial research

Constructing within and between hospital physician social networks for modeling physician research participation

Carly A. Bobak, Deepika Mohan, Megan A. Murphy, Amber E. Barnato & A. James O’Malley

Combining multiple sources of relationships in a network to advance understanding of physicians’ beliefs regarding peer-effects

Yifan Zhao, Carly A Bobak, Megan A Murphy, Olivia Sacks, Lili Liu, Natasha Ray, Amber E Barnato, A James O’Malley

Methodology for supervised optimization of the construction of physician shared-patient networks

A James O’Malley, Yifan Zhao, Carly Bobak, Chuanling Qin, Erika L Moen, Daniel N Rockmore

Network Analysis for improved understanding of TB Pathogenesis

Increased DNA methylation, cellular senescence and premature epigenetic aging in guinea pigs and humans with tuberculosis

Carly A Bobak, Abhimanyu, Harini Natarajan, Tanmay Gandhi, Sandra L Grimm, Tomoki Nishiguchi, Kent Koster, Santiago Carrero Longlax, Qiniso Dlamini, Jacquiline Kahari, Godwin Mtetwa, Jeffrey D Cirillo, James O'Malley, Jane E Hill, Cristian Coarfa, Andrew R DiNardo

Gene Expression in Cord Blood and Tuberculosis in Early Childhood: A Nested Case-Control Study in a South African Birth Cohort

Carly A Bobak, Maresa Botha, Lesley Workman, Jane E Hill, Mark P Nicol, John W Holloway, Dan J Stein, Leonardo Martinez, Heather J Zar

Using human breath to identify Tuberculosis from South African Patients

Exhaled human breath analysis in active pulmonary tuberculosis diagnostics by comprehensive gas chromatography-mass spectrometry and chemometric techniques

M Beccaria, C Bobak, B Maitshotlo, TR Mellors… - Journal of breath research, 2018

Breath can discriminate tuberculosis from other lower respiratory illness in children

Carly A. Bobak, Lili Kang, Lesley Workman, Lindy Bateman, Mohammad S. Khan, Margaretha Prins, Lloyd May, Flavio A. Franchina, Cynthia Baard, Mark P. Nicol, Heather J. Zar & Jane E. Hill

Development of methods for multi-cohort datasets to investigate robust biomarkers for Tuberculosis

Comparison of common machine learning models for classification of tuberculosis using transcriptional biomarkers from integrated datasets

CA Bobak, AJ Titus, JE Hill - Applied Soft Computing, 2019

Investigating Random Forest Classification on Publicly Available Tuberculosis Data to Uncover Robust Transcriptional Biomarkers.

CA Bobak, AJ Titus, JE Hill - HEALTHINF, 2018

Commentary on better computational approaches for biomarker discovery

Evaluation of using a collective approach when selecting biomarker features from machine learning models

CA Bobak, JE Hill - 2018 IEEE International Conference on Bioinformatics …, 2018

Assessment of Imputation Methods for Missing Gene Expression Data in Meta-Analysis of Distinct Cohorts of Tuberculosis Patients

CA Bobak, L McDonnell, M.D. Nemesure, J. Lin, J.E. Hill

Replicability of Differentially Expressed Genes Versus Biological Pathways Biomarkers in Diagnosing Sepsis.

Kelsey Winkeler, Carly A Bobak

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