Comparisons of classification methods for viral genomes and protein families using alignment-free vectorization

DOI10.1515/sagmb-2018-0004zbMath1398.92011OpenAlexW2810934702WikidataQ59357864 ScholiaQ59357864MaRDI QIDQ1672834

Saul Alarcon, Jie Yang, Shuai Hao, Hsin-Hsiung Huang

Publication date: 11 September 2018

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/sagmb-2018-0004

zbMATH Keywords

proteinviral genomesfamily labelsnatural vectorstatistical classification models

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10)

Related Items (1)

Discrete wavelet packet transform based discriminant analysis for whole genome sequences

Uses Software

• ElemStatLearn
• HandTill2001
• MVN

Cites Work

• Unnamed Item
• A new method to cluster DNA sequences using Fourier power spectrum
• Note on a limit theorem
• Alignment-free comparison of genome sequences by a new numerical characterization
• Support-vector networks
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• A simple generalisation of the area under the ROC curve for multiple class classification problems

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