Hi,
I’m working on a project to predict the infection phenotype of a bacterial infection, and my feature variables are genomic-level features. I’ve been trying to extract features using your package iFeatureOmega and I've hit a snag; some of my assembled genomes have a lot of contigs. I’m not sure how to condense the feature instances for each contig into a single instance for a genome.
I was considering computing the mean value across all the contigs, but I don't know if this would retain the biological significance of the feature. Would you have any suggestions on how to handle this?
I would really appreciate all the help I can get, thanks for your time!
Hi,
I’m working on a project to predict the infection phenotype of a bacterial infection, and my feature variables are genomic-level features. I’ve been trying to extract features using your package iFeatureOmega and I've hit a snag; some of my assembled genomes have a lot of contigs. I’m not sure how to condense the feature instances for each contig into a single instance for a genome.
I was considering computing the mean value across all the contigs, but I don't know if this would retain the biological significance of the feature. Would you have any suggestions on how to handle this?
I would really appreciate all the help I can get, thanks for your time!