Alexander J. Titus

According to our database, Alexander J. Titus authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

2024

Integrating MLSecOps in the Biotechnology Industry 5.0.

Naseela Pervez, Alexander J. Titus

CoRR, 2024

NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning with data from the National Health and Nutrition Examination Survey.

B. Ross Katz, Abdul Khan, James York-Winegar, Alexander J. Titus

CoRR, 2024

2023

The Promise and Peril of Artificial Intelligence - Violet Teaming Offers a Balanced Path Forward.

Alexander J. Titus, Adam H. Russell

CoRR, 2023

Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoring.

Leandra L. Brickson, Fritz Vollrath, Alexander J. Titus

CoRR, 2023

2022

Ten quick tips for deep learning in biology.

Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Brandon Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca

PLoS Comput. Biol., 2022

2021

Ten Quick Tips for Deep Learning in Biology.

Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Beth Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca

CoRR, 2021

2020

MethylNet: an automated and modular deep learning approach for DNA methylation analysis.

Joshua J. Levy, Alexander J. Titus, Curtis L. Petersen, Youdinghuan Chen, Lucas A. Salas, Brock C. Christensen

BMC Bioinform., 2020

2019

PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data.

Joshua J. Levy, Alexander J. Titus, Lucas A. Salas, Brock C. Christensen

Bioinform., 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

SIG-DB: Leveraging homomorphic encryption to securely interrogate privately held genomic databases.

Alexander J. Titus, Audrey Flower, Patrick Hagerty, Paul Gamble, Charlie Lewis, Todd Stavish, Kevin P. OConnell, Greg Shipley, Stephanie M. Rogers

PLoS Comput. Biol., 2018

PySEAL: A Python wrapper implementation of the SEAL homomorphic encryption library.

Alexander J. Titus, Shashwat Kishore, Todd Stavish, Stephanie M. Rogers, Karl Ni

CoRR, 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

2016

methyLiftover: cross-platform DNA methylation data integration.

Alexander J. Titus, Eugene Andres Houseman, Kevin C. Johnson, Brock C. Christensen

Bioinform., 2016

Automatic Identification of Co-Occuring Patient Events.

Alexander Titus, Rebecca Faill, Amar Das

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016