Influenza virus genotype to phenotype predictions through machine learning: a systematic review.

Abstract excerpt

BACKGROUND: There is great interest in understanding the viral genomic predictors of phenotypic traits that allow influenza A viruses to adapt to or become more virulent in different hosts. Machine learning techniques have demonstrated promise in addressing this critical need for other pathogens because the underlying algorithms are especially well equipped to uncover complex patterns in large datasets and...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Drug Resistance, Viral
• Share to Genome, Viral