A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
Due to increasing computational power and experimental sophistication, extensive collection and analysis of genomic data is now possible. This has spurred the search for better algorithms and computational methods to investigate the underlying patterns that connect genotypic and phenotypic data. We propose a multivariate tensor-based orthogonal polynomial approach to characterize nucleotides or amino acids in a given DNA/RNA or protein sequence. Given quantifiable phenotype data thatdoi:10.1101/2020.04.24.059279 fatcat:ubpaebl6k5cpdijgnlk5jbld44