Convergent Autoencoder and Machine Learning Methodologies for SARS-CoV-2 Essential Host Factor Identification based on Interferon Pathway Loss-of-Function Perturb-seq Data Mining
The COVID-19 pandemic has highlighted the importance of understanding host-virus interactions, particularly the role of interferon (IFN) signaling pathways in viral pathogenesis. This study employed a comprehensive machine learning framework to analyze Perturb-seq data from SARS-CoV-2-infected Calu-3 respira...