microbialPhenotypes: An R package that analyzes high-throughput microbial phenotype data
Wu, I.-F.; Siegele, D.; Hu, J. C.
Show abstract
Various microbial high-throughput phenotyping techniques have been vastly conducted to infer functions of genes, generating large numbers of valuable datasets whose potential in providing insights to characterize genes hasnt been fully exploited. Therefore, computational tools that allow unbiased, systematic analysis of these data also have become vital. Here we describe a package that evaluates high-throughput microbial phenotype data by one or several sets of associated functional annotations are provided. In addition, some helper functions are provided to help clean high-throughput microbial phenotype data.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.