Alex Kotlar

According to our database, Alex Kotlar authored at least 7 papers between 2017 and 2026.

Collaborative distances:

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

2026

Combining Bayesian and Frequentist Inference for Laboratory-Specific Performance Guarantees in Copy Number Variation Detection.

Austin Talbot, Alex V. Kotlar, Yue Ke

CoRR, April, 2026

Generative Principal Component Regression via Variational Inference.

Austin Talbot, Corey J. Keller, Cristina E. Trevino, David E. Carlson, Eric B. Dammer, Erik C. B. Johnson, Thomas S. Wingo, Alex V. Kotlar

IEEE Trans. Signal Process., 2026

2025

Classifying Copy Number Variations Using State Space Modeling of Targeted Sequencing Data: A Case Study in Thalassemia.

Austin Talbot, Alex V. Kotlar, Lavanya Rishishwar, Yue Ke

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024

Generative Principal Component Regression via Variational Inference.

Austin Talbot, Corey J. Keller, David E. Carlson, Alex V. Kotlar

CoRR, 2024

2018

Tutorial: Rapidly Identifying Disease-associated Rare Variants using Annotation and Machine Learning at Whole-genome Scale Online.

Alex V. Kotlar, Thomas S. Wingo

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

MPD: multiplex primer design for next-generation targeted sequencing.

Thomas S. Wingo, Alex Kotlar, David J. Cutler

BMC Bioinform., 2017

SeqAnt: Cloud-Based Whole-Genome Annotation and Search.

Alex V. Kotlar, Cristina E. Trevino, Michael E. Zwick, David J. Cutler, Thomas S. Wingo

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017