Skip to main content
Figure 3 | BMC Bioinformatics

Figure 3

From: Prediction of RNA-binding amino acids from protein and RNA sequences

Figure 3

An example of feature vector-based reduction of data redundancy. Case 1 shows the procedure of the feature vector-based redundancy reduction method with a hypothetical amino acid-based feature when there is a different typed feature: sequence length feature is combined with the amino acid-based feature to encode a feature vector in case 2. The sequence fragment (s3) is not included in the training dataset in case 1 because it generates a redundant feature vector with the one from the sequence fragment (s1). However, the sequence fragments (s5, s6) become the non-identical feature vectors (v5, v6) when using the sequence length feature in case 2 and both sequence fragments are included in the training dataset.

Back to article page