The DOI matches its Crossref record; 141 of the 141 references it cites were found in a registry or an index.
iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
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Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
A theory for multiresolution signal decomposition: the wavelet representation
Mallat, S. G. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.192463 · Cited by 21,372
A Wavelet Tour of Signal Processing
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Principles that Govern the Folding of Protein Chains
Anfinsen, C. B. (1973) · Science · doi:10.1126/science.181.4096.223 · Cited by 7,096
A novel genetic system to detect protein–protein interactions
Fields, S., & Song, O.-K. (1989) · Nature · doi:10.1038/340245a0 · Cited by 6,114
Functional organization of the yeast proteome by systematic analysis of protein complexes
Gavin, A.-C., Bösche, M., Krause, R., Grandi, P., Marzioch, M., Bauer, A., Schultz, J., Rick, J. M., Michon, A.-M., Cruciat, C.-M., et al. (2002) · Nature · doi:10.1038/415141a · Cited by 4,759
Prediction of protein antigenic determinants from amino acid sequences.
Hopp, T. P., & Woods, K. R. (1981) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.78.6.3824 · Cited by 3,705
A comprehensive two-hybrid analysis to explore the yeast protein interactome
Ito, T., Chiba, T., Ozawa, R., Yoshida, M., Hattori, M., & Sakaki, Y. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.061034498 · Cited by 3,566
Amino Acid Difference Formula to Help Explain Protein Evolution
Grantham, R. (1974) · Science · doi:10.1126/science.185.4154.862 · Cited by 2,363
Prediction of protein cellular attributes using pseudo‐amino acid composition
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Self-citation
Cited by
Liu, B., Yang, F., Huang, D.-S., & Chou, K.-C. (2018) · Bioinformatics · doi:10.1093/bioinformatics/btx579 · Cited by 331
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-citationpRNAm-PC: Predicting N6-methyladenosine sites in RNA sequences via physical–chemical properties
Liu, Z., Xiao, X., Yu, D.-J., Jia, J., Qiu, W.-R., & Chou, K.-C. (2016) · Analytical Biochemistry · doi:10.1016/j.ab.2015.12.017 · Cited by 257
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Metadata
- Authors
- Jia, J., Liu, Z., Xiao, X., Liu, B., & Chou, K.-C.
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 377
- Pages
- 47-56
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W1991141438
- Cited by
- 276
- References
- 141
- FWCI
- 21.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC. https://app.cochat.ai/papers/10.1016/j.jtbi.2015.04.011
- The paper
- Jia, J., Liu, Z., Xiao, X., Liu, B., & Chou, K.-C. (2015). iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC. Journal of Theoretical Biology. https://doi.org/10.1016/j.jtbi.2015.04.011
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
