The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
DNA SEQUENCING: Massively Parallel Genomics
Abstract
Using the URL at the end of this item, readers can immediately offer feedback and suggestions on this topic. An enormous amount of genetic sequence data has been obtained with gel-based DNA sequencing methods [[HN1][1]]. To understand the function of the genes and their health implications, genetic
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Cites
The New Genomics: Global Views of Biology
Lander, E. S. (1996) · Science · doi:10.1126/science.274.5287.536 · Cited by 1,174
Cited by
Gene selection for cancer classification using support vector machines
Guyon, I., Weston, J., Barnhill, S., & Vapnik, V. (2002) · Machine Learning · doi:10.1023/a:1012487302797 · Cited by 9,954
Drummond, T. G., Hill, M. G., & Barton, J. K. (2003) · Nature Biotechnology · doi:10.1038/nbt873 · Cited by 2,214
Array-Based Electrical Detection of DNA with Nanoparticle Probes
Park, S.-J., Taton, T. A., & Mirkin, C. A. (2002) · Science · doi:10.1126/science.1067003 · Cited by 1,515
DNA Biosensors and Microarrays
Sassolas, A., Leca-Bouvier, B. D., & Blum, L. J. (2008) · Chemical Reviews · doi:10.1021/cr0684467 · Cited by 1,246
Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection
Ang, J. C., Mirzal, A., Haron, H., & Hamed, H. N. A. (2016) · IEEE/ACM Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2015.2478454 · Cited by 641
Metadata
- Authors
- Fodor, S. P. A.
- Venue
- Science
- Published
- 1997-07-18
- Volume
- 277
- Issue
- 5324
- Pages
- 393-395
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2089749945
- Cited by
- 245
- References
- 1
- FWCI
- 5.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Fodor, S. P. A. (1997). DNA SEQUENCING: Massively Parallel Genomics. Science. https://doi.org/10.1126/science.277.5324.393
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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.
