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In previous work [ 46- 48] we found that RY-coding of the most variable partitions of the nucleotide data (especially the 3rd codon position) was advantageous.
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Partition metric values showed an initial rapid decline before leveling off after the removal of the most variable 2.2 kbp (ca. A139165), at which point values remained constant and relatively low until increasing again beyond removal of the most variable 8.3 kbp (A133065).
The vegetables are the most variable of variables, both in terms of kind and quantity.
The DBL6ε domain is the most variable.
Position A437 was the most variable (14%).
Using Recursively Partitioned Mixture Model (RPMM) clustering analysis within the R software program, we examined the patterns of differential methylation using the top 200 most variable CpG sites.
Bootstrap support values showed clear trends throughout An partitions as variable sites were removed, with overall values consistently high (average value > 85%, median value ≥ 98%) until the most variable ca. 8.3 kbp had been removed (A133065).
However, when the most variable 25% of sites were removed, Anomalurus was recovered as sister to the Muroidea/Dipodidae clade, albeit with low (30%) bootstrap support, while bootstrap support for the partition Anomalurus+Hystricognathi fell to 28%.
Plants adjust to variations in resource availabilities by variable partitioning to root and shoot growth [1], [2].
Most variables are self explanatory.
Most variability is attributable to the different partitions, and the prediction for RKHSIMS surpassed those from GBLUPIMS for most of the partitions.
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