The DOI matches its Crossref record.
Support Vector Machine Applications in Computational Biology
Abstract
This chapter contains sections titled: Introduction, Protein Remote Homology Detection, Protein Remote Homology Detection, Prediction along the DNA or Protein Strand, Microarray Gene Expression Analysis, Data Fusion, Other Applications, Discussion
Overview
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Citations
Cited by
Kernel methods for predicting protein-protein interactions
Ben-Hur, A., & Noble, W. S. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti1016 · Cited by 561
Self-citationMethodologies for Cross-Domain Data Fusion: An Overview
Zheng, Y. (2015) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2015.2465959 · Cited by 454
Nucleosome positioning signals in genomic DNA
Peckham, H. E., Thurman, R. E., Fu, Y., Stamatoyannopoulos, J. A., Noble, W. S., Struhl, K., & Weng, Z. (2007) · Genome Research · doi:10.1101/gr.6101007 · Cited by 316
Self-citationComputational identification of multi-omic correlates of anticancer therapeutic response
Stetson, L. C., Pearl, T., Chen, Y., & Barnholtz-Sloan, J. S. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-s7-s2 · Cited by 49
Metadata
- Authors
- Noble, W. S.
- Venue
- Kernel Methods in Computational Biology
- Publisher
- The MIT Press
- Published
- 2004-07-16
- Pages
- 71-92
- OpenAlex
- W2544883878
- Cited by
- 353
- References
- 0
- FWCI
- 31.25
- Type
- book chapter
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Support Vector Machine Applications in Computational Biology. https://app.cochat.ai/papers/10.7551/mitpress/4057.003.0005
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- Noble, W. S. (2004). Support Vector Machine Applications in Computational Biology. Kernel Methods in Computational Biology. https://doi.org/10.7551/mitpress/4057.003.0005
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.
