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Alexander J. Titus
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2020 – today
- 2024
- [i9]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 abs/2401.06967 (2024) - [i8]Naseela Pervez, Alexander J. Titus:
Integrating MLSecOps in the Biotechnology Industry 5.0. CoRR abs/2402.07967 (2024) - [i7]Samuel A. Donkor, Matthew E. Walsh, Alexander J. Titus:
Computing in the Life Sciences: From Early Algorithms to Modern AI. CoRR abs/2406.12108 (2024) - [i6]Naseela Pervez, Alexander J. Titus:
Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts. CoRR abs/2406.19497 (2024) - 2023
- [i5]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 abs/2306.13803 (2023) - [i4]Alexander J. Titus
The Promise and Peril of Artificial Intelligence - Violet Teaming Offers a Balanced Path Forward. CoRR abs/2308.14253 (2023) - 2022
- [j6]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) - 2021
- [i3]Benjamin D. Lee, Anthony Gitter
Ten Quick Tips for Deep Learning in Biology. CoRR abs/2105.14372 (2021) - 2020
- [j5]Joshua J. Levy
MethylNet: an automated and modular deep learning approach for DNA methylation analysis. BMC Bioinform. 21(1): 108 (2020)
2010 – 2019
- 2019
- [j4]Carly A. Bobak
Comparison of common machine learning models for classification of tuberculosis using transcriptional biomarkers from integrated datasets. Appl. Soft Comput. 74: 264-273 (2019) - [j3]Joshua J. Levy
PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data. Bioinform. 35(24): 5379-5381 (2019) - 2018
- [j2]Alexander J. Titus
SIG-DB: Leveraging homomorphic encryption to securely interrogate privately held genomic databases. PLoS Comput. Biol. 14(9) (2018) - [c3]Alexander J. Titus
A New Dimension of Breast Cancer Epigenetics - Applications of Variational Autoencoders with DNA Methylation. BIOINFORMATICS 2018: 140-145 - [c2]Carly A. Bobak
Investigating Random Forest Classification on Publicly Available Tuberculosis Data to Uncover Robust Transcriptional Biomarkers. HEALTHINF 2018: 695-701 - [i2]Alexander J. Titus, Shashwat Kishore, Todd Stavish, Stephanie M. Rogers, Karl Ni:
PySEAL: A Python wrapper implementation of the SEAL homomorphic encryption library. CoRR abs/1803.01891 (2018) - [i1]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 abs/1803.09565 (2018) - 2016
- [j1]Alexander J. Titus
methyLiftover: cross-platform DNA methylation data integration. Bioinform. 32(16): 2517-2519 (2016) - [c1]Alexander Titus
Automatic Identification of Co-Occuring Patient Events. BCB 2016: 579-586
Coauthor Index
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