Some exploratory research with preliminary results regarding clustered interpretation and feature compression using peak pattern maps and manifold clusters is reported in [37 39].
Nonetheless, there is potential to extend the idea of peak topography mapping towards clustered interpretation, combining similar peak groups as one feature.
Although the co-expression network separates different super-clusters, interpretation of connections among the nodes remained intractable due to the large size of this network.
The limitation of clustering interpretation must be scientifically established, especially if that interpretation is used as a marker for public health practice performance and as an indication of progress toward elimination of TB.
SN Participated in strain classification, cluster analysis, interpretation of the results and reviewed the initial and final manuscript.
Therefore, the PTM method presented here is limited it its cluster-level interpretation, i.e., treating groups of compounds as one feature manifold.
A list of cluster biological interpretations is provided in Table 1.
Therefore, we obtained the design effect in order to estimate the likely impact of clustering on interpretation of the results.
The results from logistic regression analyses were presented as OR, with the OR from the fixed-effect logistic regression (sibling comparison) having a cluster-specific interpretation.
