Bayesian linear regression for analyzing general omics data with time-to-event phenotypes
Villanueva Marijuan A. 2024. Bayesian linear regression for analyzing general omics data with time-to-event phenotypes. Institute of Science and Technology Austria.
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Masters_thesis_AriadnaVillanueva.pdf
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Thesis
| MS
| Published
| English
Supervisor
Corresponding author has ISTA affiliation
Department
Series Title
ISTA Master's Thesis
Keywords
Publishing Year
Date Published
2024-08-13
Publisher
Institute of Science and Technology Austria
Page
60
ISSN
IST-REx-ID
Cite this
Villanueva Marijuan A. Bayesian linear regression for analyzing general omics data with time-to-event phenotypes. 2024. doi:10.15479/at:ista:17368
Villanueva Marijuan, A. (2024). Bayesian linear regression for analyzing general omics data with time-to-event phenotypes. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:17368
Villanueva Marijuan, Ariadna. “Bayesian Linear Regression for Analyzing General Omics Data with Time-to-Event Phenotypes.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:17368.
A. Villanueva Marijuan, “Bayesian linear regression for analyzing general omics data with time-to-event phenotypes,” Institute of Science and Technology Austria, 2024.
Villanueva Marijuan A. 2024. Bayesian linear regression for analyzing general omics data with time-to-event phenotypes. Institute of Science and Technology Austria.
Villanueva Marijuan, Ariadna. Bayesian Linear Regression for Analyzing General Omics Data with Time-to-Event Phenotypes. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:17368.
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