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Transfer Learning Models for Bacterial Strain Dissemination Biomarkers using Weighted Non-Parallel Proximal Support Vector Machines

2024-10-14

Abstract excerpt

This paper develops optimization and Machine Learning (ML) algorithms to analyze gene expression datasets from the lungs and spleen of mice, infected intranasally, with two bacterial strains, Francisella tularensis - Schu4 and Live Vaccine Strain (LVS). We propose and utilize Weighted ๐“ 1 -norm Generalized Eigenvalue-type Problems ( ๐“ 1 -WGEPs) to determine a small set of host biomarkers that report Schu4 and...

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Literature Corpus work
5a5896b3-4ac4-5b50-a715-5c4ae2454698
DOI
10.1101/2024.10.11.617744
Open publication

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Transfer Learning Models for Bacterial Strain Dissemination Biomarkers using Weighted Non-Parallel Proximal Support Vector MachinesDOI 10.1101/2024.10.11.617744
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