The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Predictive non-linear modeling of complex data by artificial neural networks
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Citations
Cites
Khan, J., Wei, J. S., Ringnér, M., Saal, L. H., Ladanyi, M., Westermann, F., Berthold, F., Schwab, M., Antonescu, C. R., Peterson, C., et al. (2001) · Nature Medicine · doi:10.1038/89044 · Cited by 2,644
Agatonovic-Kustrin, S., & Beresford, R. (2000) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/s0731-7085(99)00272-1 · Cited by 1,957
Neural Networks: A Review from a Statistical Perspective
Cheng, B., & Titterington, D. M. (1994) · Statistical Science · doi:10.1214/ss/1177010638 · Cited by 1,048
Bioinformatics the machine learning approach
Baldi, P., & Brunak, S. (2001) · Cited by 942
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Reed, R., & Marks, R. J. (1999) · Cited by 645
Infrared and Raman Spectroscopy of Biological Materials
Gremlich, H.-U., & Yan, B. (2000) · CRC Press eBooks · doi:10.1201/b16936 · Cited by 531
Promoter2.0: for the recognition of PolII promoter sequences.
Knudsen, S. (1999) · Bioinformatics · doi:10.1093/bioinformatics/15.5.356 · Cited by 383
Handbook of Biosensors and Electronic Noses: Medicine, Food, and the Environment
Kress-Rogers, E. (1996) · Medical Entomology and Zoology · Cited by 258
Bioinformatics: The machine learning approach
(1998) · Computers & Mathematics with Applications · doi:10.1016/0898-1221(98)90194-8 · Cited by 188
Evolutionary computation in medicine: an overview
Peña-Reyes, C. A., & Sipper, M. (2000) · Artificial Intelligence in Medicine · doi:10.1016/s0933-3657(99)00047-0 · Cited by 150
Cited by
Decoupling dynamical systems for pathway identification from metabolic profiles
Voit, E. O., & Almeida, J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth140 · Cited by 294
Self-citationWu, Z., & Shi, X. (2007) · Letters in Applied Microbiology · doi:10.1111/j.1472-765x.2006.02038.x · Cited by 115
Biological insights through omics data integration
Noor, E., Cherkaoui, S., & Sauer, U. (2019) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2019.03.007 · Cited by 83
Metadata
- Authors
- Almeida, J. S.
- Venue
- Current Opinion in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2002-02
- Volume
- 13
- Issue
- 1
- Pages
- 72-76
- ISSN
- 0958-1669 (ISSN-L)
- OpenAlex
- W2025299343
- Cited by
- 330
- References
- 22
- FWCI
- 3.63
- Type
- journal article
- Language
- en
- Open access
- closed
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Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Predictive non-linear modeling of complex data by artificial neural networks. https://app.cochat.ai/papers/10.1016/s0958-1669(02)00288-4
- The paper
- Almeida, J. S. (2002). Predictive non-linear modeling of complex data by artificial neural networks. Current Opinion in Biotechnology. https://doi.org/10.1016/s0958-1669(02)00288-4
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.
