Exploring Dominating Features from Apis Mellifera Pre-miRNA

In this paper, we report systematic in depth analysis of 54 known pre-miRNA from Apis mellifera (honey bee) with a set of 14 attributes. We have derived this set of attributes from secondary structure data that are generated from pre-miRNA sequences from Apis meillfera database using RNAfold. Principal component analysis method has been applied for dimension reduction. It reduces dimension of this set from 54 to a set of 7. Out of these 7 only five eigenvectors with variance more than 1.0 are considered since other attributes showed a very low variance. From this reduced set most dominating attributed are identified using attributes ranking computed by using weights of attributes and variance of five eigenvectors. All attributes with rank more than 1.0 are selected. This cast the attributes set from dimension 14 to 4 dominating attributes set. These attributes can be used in pre-miRNA prediction model that may facilitate miRNA biogenesis.