Alexander J. Titus

17 papers Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Computing in the Life Sciences: From Early Algorithms to Modern AI.
CoRR
Samuel A. Donkor, Matthew E. Walsh, Alexander J. Titus
2024 J jnl
Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts.
CoRR
Naseela Pervez, Alexander J. Titus
2024 J jnl
Integrating MLSecOps in the Biotechnology Industry 5.0.
CoRR
Naseela Pervez, Alexander J. Titus
2024 J jnl
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
B. Ross Katz, Abdul Khan, James York-Winegar, Alexander J. Titus
2023 J jnl
Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoring.
CoRR
Leandra L. Brickson, Fritz Vollrath, Alexander J. Titus
2023 J jnl
The Promise and Peril of Artificial Intelligence - Violet Teaming Offers a Balanced Path Forward.
CoRR
Alexander J. Titus, Adam H. Russell
2022 J jnl
Ten quick tips for deep learning in biology.
PLoS Comput. Biol.
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
2021 J jnl
Ten Quick Tips for Deep Learning in Biology.
CoRR
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
2020 J jnl
MethylNet: an automated and modular deep learning approach for DNA methylation analysis.
BMC Bioinform.
Joshua J. Levy, Alexander J. Titus, Curtis L. Petersen, Youdinghuan Chen, Lucas A. Salas, Brock C. Christensen
2019 J jnl
Comparison of common machine learning models for classification of tuberculosis using transcriptional biomarkers from integrated datasets.
Appl. Soft Comput.
Carly A. Bobak, Alexander J. Titus, Jane E. Hill
2019 J jnl
PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data.
Bioinform.
Joshua J. Levy, Alexander J. Titus, Lucas A. Salas, Brock C. Christensen
2018 — conf
A New Dimension of Breast Cancer Epigenetics - Applications of Variational Autoencoders with DNA Methylation.
BIOINFORMATICS
Alexander J. Titus, Carly A. Bobak, Brock C. Christensen
2018 — conf
Investigating Random Forest Classification on Publicly Available Tuberculosis Data to Uncover Robust Transcriptional Biomarkers.
HEALTHINF
Carly A. Bobak, Alexander J. Titus, Jane E. Hill
2018 J jnl
PySEAL: A Python wrapper implementation of the SEAL homomorphic encryption library.
CoRR
Alexander J. Titus, Shashwat Kishore, Todd Stavish, Stephanie M. Rogers, Karl Ni
2018 J jnl
SIG-DB: Leveraging homomorphic encryption to securely interrogate privately held genomic databases.
PLoS Comput. Biol.
Alexander J. Titus, Audrey Flower, Patrick Hagerty, Paul Gamble, Charlie Lewis, Todd Stavish, Kevin P. OConnell, Greg Shipley, Stephanie M. Rogers
2018 J jnl
SIG-DB: leveraging homomorphic encryption to Securely Interrogate privately held Genomic DataBases.
CoRR
Alexander J. Titus, Audrey Flower, Patrick Hagerty, Paul Gamble, Charlie Lewis, Todd Stavish, Kevin P. OConnell, Greg Shipley, Stephanie M. Rogers
2016 J jnl
methyLiftover: cross-platform DNA methylation data integration.
Bioinform.
Alexander J. Titus, Eugene Andres Houseman, Kevin C. Johnson, Brock C. Christensen