The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
The WEKA data mining software: an update
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1656274.1656278 · Cited by 17,750
Next-generation DNA sequencing
Shendure, J., & Ji, H. (2008) · Nature Biotechnology · doi:10.1038/nbt1486 · Cited by 4,509
The SWISS-PROT protein sequence data bank and its supplement TrEMBL
Bairoch, A., & Apweiler, R. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.1.31 · Cited by 3,587
The SWISS-PROT protein sequence data bank and its supplement TrEMBL in 1998
Bairoch, A. (1998) · Nucleic Acids Research · doi:10.1093/nar/26.1.38 · Cited by 3,280
CD-HIT Suite: a web server for clustering and comparing biological sequences
Huang, Y., Niu, B., Gao, Y., Fu, L., & Li, W. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq003 · Cited by 2,607
Chou, K.-C., & Shen, H.-B. (2007) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2007.06.027 · Cited by 435
Liu, B., Xu, J., Lan, X., Xu, R., Zhou, J., Wang, X., & Chou, K.-C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106691 · Cited by 306
Removing near-neighbour redundancy from large protein sequence collections.
Holm, L., & Sander, C. (1998) · Bioinformatics · doi:10.1093/bioinformatics/14.5.423 · Cited by 294
Cited by
Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways
Chen, L., Zhang, Y.-H., Wang, S., Zhang, Y., Huang, T., & Cai, Y.-D. (2017) · PLOS ONE · doi:10.1371/journal.pone.0184129 · Cited by 466
Bhadra, P., Yan, J., Li, J., Fong, S., & Siu, S. W. I. (2018) · Scientific Reports · doi:10.1038/s41598-018-19752-w · Cited by 339
Wei, L., Xing, P., Zeng, J., Chen, J., Su, R., & Guo, F. (2017) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2017.03.001 · Cited by 242
Self-citationPrediction of human protein subcellular localization using deep learning
Wei, L., Ding, Y., Su, R., Tang, J., & Zou, Q. (2018) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2017.08.009 · Cited by 216
Self-citationTseng, C.-J., Lu, C.-J., Chang, C.-C., Chen, G.-D., & Cheewakriangkrai, C. (2017) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2017.06.003 · Cited by 76
Metadata
- Authors
- Wei, L., Tang, J., & Zou, Q.
- Venue
- Information Sciences
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 384
- Pages
- 135-144
- ISSN
- 0020-0255 (ISSN-L)
- OpenAlex
- W2470414691
- Cited by
- 258
- References
- 49
- FWCI
- 15.65
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information. https://app.cochat.ai/papers/10.1016/j.ins.2016.06.026
- The paper
- Wei, L., Tang, J., & Zou, Q. (2017). Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information. Information Sciences. https://doi.org/10.1016/j.ins.2016.06.026
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.