The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
An introduction to ROC analysis
Fawcett, T. (2006) · Pattern Recognition Letters · doi:10.1016/j.patrec.2005.10.010 · Cited by 21,879
Cd-hit: Accelerated for clustering the next-generation sequencing data
Fu, L., Niu, B., Zhu, Z., Wu, S., & Li, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts565 · Cited by 11,175
The relationship between Precision-Recall and ROC curves
Davis, J., & Goadrich, M. (2006) · Proceedings of the 23rd international conference on Machine learning - ICML '06 · doi:10.1145/1143844.1143874 · Cited by 6,559
Proceedings of the 23rd international conference on Machine learning
Cohen, W. W., & Moore, A. (2006) · Cited by 2,647
Prediction of protein cellular attributes using pseudo‐amino acid composition
Chou, K. (2001) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.1035 · Cited by 1,943
Self-citationCLASSIFICATION OF IMBALANCED DATA: A REVIEW
SUN, Y., WONG, A. K. C., & KAMEL, M. S. (2009) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001409007326 · Cited by 1,692
Protein Posttranslational Modifications: The Chemistry of Proteome Diversifications
Walsh, C. T., Garneau‐Tsodikova, S., & Gatto, G. J. (2005) · Angewandte Chemie International Edition · doi:10.1002/anie.200501023 · Cited by 1,604
Sirt5 Is a NAD-Dependent Protein Lysine Demalonylase and Desuccinylase
Du, J., Zhou, Y., Su, X., Yu, J. J., Khan, S., Jiang, H., Kim, J., Woo, J., Kim, J. H., Choi, B. H., et al. (2011) · Science · doi:10.1126/science.1207861 · Cited by 1,429
The Universal Protein Resource (UniProt) in 2010
The UniProt Consortium (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp846 · Cited by 1,257
Cited by
Liu, B., Yang, F., Huang, D.-S., & Chou, K.-C. (2018) · Bioinformatics · doi:10.1093/bioinformatics/btx579 · Cited by 331
Self-citation
Metadata
- Authors
- Jia, J., Liu, Z., Xiao, X., Liu, B., & Chou, K.-C.
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 2016-04
- Volume
- 394
- Pages
- 223-230
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W2278741011
- Cited by
- 323
- References
- 99
- FWCI
- 31.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach. https://app.cochat.ai/papers/10.1016/j.jtbi.2016.01.020
- The paper
- Jia, J., Liu, Z., Xiao, X., Liu, B., & Chou, K.-C. (2016). pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach. Journal of Theoretical Biology. https://doi.org/10.1016/j.jtbi.2016.01.020
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.
