The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences
Abstract
With the avalanche of DNA/RNA sequences generated in the post-genomic age, it is urgent to develop automated methods for analyzing the relationship between the sequences and their functions. Towards this goal, a series of sequence-based methods have been proposed and applied to analyze various character-unknown DNA/RNA sequences in order for in-depth understanding their action mechanisms and processes. Compared with the classical sequence-based methods, the pseudo nucleotide composition or PseKNC approach developed very recently has the following advantages: (1) it can convert length-different DNA/RNA sequences into dimension-fixed digital vectors that can be directly handled by all the existing machine-learning algorithms or operation engines; (2) it can contain the desired features and properties according to the selection or definition of users; (3) it can cover considerable sequence pattern information, both local and global. This minireview is focused on the concept of pseudo nucleotide composition, its development and applications.
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Citations
Cites
Some remarks on protein attribute prediction and pseudo amino acid composition
Chou, K.-C. (2011) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2010.12.024 · Cited by 1,225
Self-citationLin, H., Deng, E.-Z., Ding, H., Chen, W., & Chou, K.-C. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku1019 · Cited by 508
Self-citationIdentification of Real MicroRNA Precursors with a Pseudo Structure Status Composition Approach
Liu, B., Fang, L., Liu, F., Wang, X., Chen, J., & Chou, K.-C. (2015) · PLOS ONE · doi:10.1371/journal.pone.0121501 · Cited by 238
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Cited by
Liu, B., Fang, L., Long, R., Lan, X., & Chou, K.-C. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btv604 · Cited by 362
Self-citationLiu, B., Yang, F., Huang, D.-S., & Chou, K.-C. (2018) · Bioinformatics · doi:10.1093/bioinformatics/btx579 · Cited by 331
Self-citationJia, J., Liu, Z., Xiao, X., Liu, B., & Chou, K.-C. (2016) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2016.01.020 · Cited by 323
Self-citationiRNA-PseU: Identifying RNA pseudouridine sites
Chen, W., Tang, H., Ye, J., Lin, H., & Chou, K.-C. (2016) · Molecular Therapy - Nucleic Acids · doi:10.1038/mtna.2016.37 · Cited by 291
Self-citationiRSpot-EL: identify recombination spots with an ensemble learning approach
Liu, B., Wang, S., Long, R., & Chou, K.-C. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw539 · Cited by 295
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Metadata
- Authors
- Chen, W., Lin, H., & Chou, K.-C.
- Venue
- Molecular BioSystems
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-06-05
- Volume
- 11
- Issue
- 10
- Pages
- 2620-2634
- ISSN
- 1742-2051 (ISSN-L)
- 1742-206X
- OpenAlex
- W1943237984
- Cited by
- 312
- References
- 3
- FWCI
- 20.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, W., Lin, H., & Chou, K.-C. (2015). Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences. Molecular BioSystems. https://doi.org/10.1039/c5mb00155b
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