Alignment free comparison: \(k\) word voting model and its applications
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Publication:1790755
DOI10.1016/j.jtbi.2013.06.037zbMath1397.92547OpenAlexW2143373695WikidataQ87089588 ScholiaQ87089588MaRDI QIDQ1790755
Lianping Yang, Hegui Zhu, Xiang-De Zhang
Publication date: 4 October 2018
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2013.06.037
Related Items (2)
An estimator for local analysis of genome based on the minimal absent word ⋮ Weighted measures based on maximizing deviation for alignment-free sequence comparison
Uses Software
Cites Work
- Alignment free comparison: similarity distribution between the DNA primary sequences based on the shortest absent word
- Vector representations and related matrices of DNA primary sequence based on \(L\)-tuple
- Predicting protein fold pattern with functional domain and sequential evolution information
- SubChlo: predicting protein subchloroplast locations with pseudo-amino acid composition and the evidence-theoretic \(K\)-nearest neighbor (ET-KNN) algorithm
- Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou's pseudo amino acid composition
- A novel statistical measure for sequence comparison on the basis of \(k\)-word counts
- Predicting mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou's pseudo amino acid composition
- New powerful statistics for alignment-free sequence comparison under a pattern transfer model
- Distance measures for biological sequences: some recent approaches
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