Idenify putative interactions between bacteria and the host using Metatranscriptomic data.
Matching analysis as a single piece of code that will look for correlations between two data sets that come from the same samples. We are particularly thinking about bacteria and gene data from the same set of individuals.
Requires two data frames (output from a tool such as Salmon)
1. Count data from bacterial RNASeq assignemnt 2. Count data from host RNASeq assignment
See the example data for appropriate input. Both are data-frames with column 1 representing the bacteria/gene/whatever is being tested. The remaining columns should represent each sample and should have the same labels to allow for matchings. Any columns whose name is unique to one of the data frames will be deleted. min.presence states how often an element should appear in order to be considered for analysis. The default setting of 1 will remove all non-present/ever-present elements. Increasing this will reduce the number of elements considered but will increase the power of corellation tetss. Max presence is automatically set to the number of samples-min.presence for symmetry but can be changed.