knitr::opts_chunk$set(echo = FALSE)
Algorithms being compared are r formatted1_pars$algo and r formatted2_pars$algo.
The parameters set for each algorithm are as follows:
r formatted1_pars$algo: k = r formatted1_pars$k with the r formatted1_pars$pattern filter pattern being used at the threshold of r formatted1_pars$threshold * 100%.r formatted2_pars$algo: k = r formatted2_pars$k with the r formatted2_pars$pattern filter pattern being used at the threshold of r formatted2_pars$threshold * 100%.The r formatted1_pars$algo identified r dim(params$formatted1)[1] clusters while the r formatted2_pars$algo algorithm partitioned the data into the set r params$formatted2_pars$k clusters. The largest r formatted1_pars$algo cluster had r params$formatted1$n[[1]] sequences which represents r params$formatted1$n_percent[[1]] of all sequences within the data with the resulting r params$formatted1_pars$pattern being r params$formatted1[1, c(4)]. The largest r formatted2_pars$algo cluster had r params$formatted2$n[[1]] sequences which represents r params$formatted2$n_percent[[1]] of all sequences within the data with the resulting r params$formatted2_pars$pattern being r params$formatted2[1, c(4)].
Running the approxmapR algorithm on the consensus patterns produced by both algorithms using the following parameters:
r formatted3_pars$algo: k = r formatted3_pars$k with the r formatted3_pars$pattern filter pattern being used at the threshold of r formatted3_pars$threshold * 100%Resulted in the following:
#::kable(formatted3[, c(1,2,3,4)]) formatted3[, c(1,2,3,4)]
All exported files for the r formatted1_pars$algo and r formatted2_pars$algo, as well as for the comparison can be found r params$approxmapR_results.
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