An Alignment-Free Algorithm in Comparing the Similarity of Protein Sequences Based on Pseudo-Markov Transition Probabilities among Amino Acids

In this paper, we have proposed a novel alignment-free method for comparing the similarity of protein sequences. We first encode a protein sequence into a 440 dimensional feature vector consisting of a 400 dimensional Pseudo-Markov transition probability vector among the 20 amino acids, a 20 dimensi...

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Detalles Bibliográficos
Autores principales: Li, Yushuang, Song, Tian, Yang, Jiasheng, Zhang, Yi, Yang, Jialiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5137889/
https://www.ncbi.nlm.nih.gov/pubmed/27918587
http://dx.doi.org/10.1371/journal.pone.0167430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5137889/
https://www.ncbi.nlm.nih.gov/pubmed/27918587
http://dx.doi.org/10.1371/journal.pone.0167430

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