Encoding of Nucleotide Sequences into Numeric Feature Vectors
Adjacent position relationship feature.
Projecting nucleotide sequences into numeric feature vectors using Bay...
Nucleotide sequence encoding with the distribution of trinucleotides.
Encoding of nucleic acid sequences using di-nucleotide frequency diffe...
Transforming nucleotide sequences into numeric vectors using first ord...
Mapping nucleotide sequences onto numeric feature vectors based on sec...
Sequence encoding with nucleotide frequency difference between two cla...
Conversion of nucleotide sequences into numeric feature vectors based ...
Transformation of nucleic acid sequences into numeric vectors using po...
Encoding nucleotide sequences using all possible di-nucleotide depende...
Encoding of nucleotide sequences based on sum of absolute error (SAE) ...
Nucleotide sequence encoding with 0 and 1.
Tri-nucleotide distribution-based encoding of nucleotide sequences.
Nucleic acid sequence encoding based on weighted array model.
Weighted matrix model based mapping of nucleotide sequences into vecto...
We describe fifteen different splice site sequence encoding schemes that have been used in earlier studies for mapping of splice site sequences into numeric feature vectors. These encoding schemes will also be helpful for transforming other nucleotide sequences into numeric forms, provided they are of equal length. These encoding schemes will help the computational biologist working in the field of classification (binary or multiclass) or prediction involving nucleic acid sequences of equal length.