Predicting DNA binding proteins using support vector machine with hybrid fractal features
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Publication:2632482
DOI10.1016/J.JTBI.2013.10.009zbMath1411.92108OpenAlexW2041797567WikidataQ47201750 ScholiaQ47201750MaRDI QIDQ2632482
Xiao-Hui Niu, Feng Shi, Xuehai Hu, Jingbo Xia
Publication date: 14 May 2019
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2013.10.009
Biochemistry, molecular biology (92C40) Protein sequences, DNA sequences (92D20) Fractals (28A80) Computational methods for problems pertaining to biology (92-08)
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- Advances in the implementation of the box-counting method of fractal dimension estimation
- Fractals related to long DNA sequences and complete genomes
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- Some remarks on protein attribute prediction and pseudo amino acid composition
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- Chaos game representation of protein sequences based on the detailed HP model and their multifractal and correlation analyses
- Predicting rRNA-, RNA-, and DNA-binding proteins from primary structure with support vector machines
- A new hybrid fractal algorithm for predicting thermophilic nucleotide sequences
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