Development of algorithms and software for classification of nucleotide sequences

Development of algorithms and software for classification of nucleotide sequences

Coding and non-coding nucleotide sequences of the human reference genome have been investigated. Seven models of vectorization of nucleotide sequences based on mono-, bi-, trigram nucleotide frequencies, parameters of the category-position-frequency model, the lengths of sequences, nucleotide correl...

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Bibliographic Details
Main Authors: V. R. Zakirava, D. A. Syrakvash, S. V. Hileuski, P. V. Nazarov, M. M. Yatskou
Format: Article
Language:Russian
Published: National Academy of Sciences of Belarus, the United Institute of Informatics Problems 2019-06-01
Series:Informatika
Subjects:
dna
exon
intron
classification
random forests
support vector machine
feature selection
r programming
Online Access:https://inf.grid.by/jour/article/view/471
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