Carly A. Bobak

According to our database, Carly A. Bobak authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

GRANDPA: GeneRAtive network sampling using degree and property augmentation applied to the analysis of partially confidential healthcare networks.

Carly A. Bobak, Yifan Zhao, Joshua J. Levy, A. James O'Malley

Appl. Netw. Sci., December, 2023

2022

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

Kelsey Winkeler, Carly A. Bobak

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

Raising the stakeholders: Improving patient outcomes through interprofessional collaborations in AI for healthcare.

Carly A. Bobak, Marek Svoboda, Kristine A. Giffin, Dennis P. Wall, Jason H. Moore

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

2020

Assessment of Imputation Methods for Missing Gene Expression Data in Meta-Analysis of DistinctCohorts of Tuberculosis Patients.

Carly A. Bobak, Lauren McDonnell, Matthew D. Nemesure, Justin Lin, Jane E. Hill

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019

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

Carly A. Bobak, Alexander J. Titus, Jane E. Hill

Appl. Soft Comput., 2019

2018

A New Dimension of Breast Cancer Epigenetics - Applications of Variational Autoencoders with DNA Methylation.

Alexander J. Titus, Carly A. Bobak, Brock C. Christensen

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

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

Carly A. Bobak, Alexander J. Titus, Jane E. Hill

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

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

Carly A. Bobak, Jane E. Hill

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018