Alexander J. Titus

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

National Health

Top Venues

PLoS Comput. Biol.

Publications

Samuel A. Donkor, Matthew E. Walsh, Alexander J. Titus
Computing in the Life Sciences: From Early Algorithms to Modern AI. CoRR (2024)
Naseela Pervez, Alexander J. Titus
Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts. CoRR (2024)
Naseela Pervez, Alexander J. Titus
Integrating MLSecOps in the Biotechnology Industry 5.0. CoRR (2024)
B. Ross Katz, Abdul Khan, James York-Winegar, Alexander J. Titus
NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning with data from the National Health and Nutrition Examination Survey. CoRR (2024)
Leandra L. Brickson, Fritz Vollrath, Alexander J. Titus
Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoring. CoRR (2023)
Alexander J. Titus, Adam H. Russell
The Promise and Peril of Artificial Intelligence - Violet Teaming Offers a Balanced Path Forward. CoRR (2023)
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
Ten quick tips for deep learning in biology. PLoS Comput. Biol. 18 (3) (2022)
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
Ten Quick Tips for Deep Learning in Biology. CoRR (2021)
Joshua J. Levy, Alexander J. Titus, Curtis L. Petersen, Youdinghuan Chen, Lucas A. Salas, Brock C. Christensen
MethylNet: an automated and modular deep learning approach for DNA methylation analysis. BMC Bioinform. 21 (1) (2020)
Joshua J. Levy, Alexander J. Titus, Lucas A. Salas, Brock C. Christensen
PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data. Bioinform. 35 (24) (2019)
Carly A. Bobak, Alexander J. Titus, Jane E. Hill
Comparison of common machine learning models for classification of tuberculosis using transcriptional biomarkers from integrated datasets. Appl. Soft Comput. 74 (2019)
Alexander J. Titus, Audrey Flower, Patrick Hagerty, Paul Gamble, Charlie Lewis, Todd Stavish, Kevin P. OConnell, Greg Shipley, Stephanie M. Rogers
SIG-DB: Leveraging homomorphic encryption to securely interrogate privately held genomic databases. PLoS Comput. Biol. 14 (9) (2018)
Alexander J. Titus, Shashwat Kishore, Todd Stavish, Stephanie M. Rogers, Karl Ni
PySEAL: A Python wrapper implementation of the SEAL homomorphic encryption library. CoRR (2018)
Alexander J. Titus, Carly A. Bobak, Brock C. Christensen
A New Dimension of Breast Cancer Epigenetics - Applications of Variational Autoencoders with DNA Methylation. BIOINFORMATICS (2018)
Alexander J. Titus, Audrey Flower, Patrick Hagerty, Paul Gamble, Charlie Lewis, Todd Stavish, Kevin P. OConnell, Greg Shipley, Stephanie M. Rogers
SIG-DB: leveraging homomorphic encryption to Securely Interrogate privately held Genomic DataBases. CoRR (2018)
Carly A. Bobak, Alexander J. Titus, Jane E. Hill
Investigating Random Forest Classification on Publicly Available Tuberculosis Data to Uncover Robust Transcriptional Biomarkers. HEALTHINF (2018)
Alexander J. Titus, Eugene Andres Houseman, Kevin C. Johnson, Brock C. Christensen
methyLiftover: cross-platform DNA methylation data integration. Bioinform. 32 (16) (2016)