Feature extraction method for proteins based on Markov tripeptide by compressive sensing

Feature extraction method for proteins based on Markov tripeptide by compressive sensing

Abstract Background In order to capture the vital structural information of the original protein, the symbol sequence was transformed into the Markov frequency matrix according to the consecutive three residues throughout the chain. A three-dimensional sparse matrix sized 20 × 20 × 20 was obtained a...

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Bibliographic Details
Main Authors: C. F. Gao, X. Y. Wu
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Bioinformatics
Subjects:
Amino acid sequence
Proteins
Feature extraction
Compressive sensing
Markov transfer matrix
Online Access:http://link.springer.com/article/10.1186/s12859-018-2235-x

Internet

http://link.springer.com/article/10.1186/s12859-018-2235-x

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