Bioinformatics prediction of HIV coreceptor usage
By Thomas Lengauer, Oliver Sander, S. Sierra, A. Thielen, R. Kaiser. Nature Biotechnology, 2007
354 citations recorded by the source corpus.
Subfields: Infectious Diseases, Virology
View Paper: https://www.semanticscholar.org/paper/4ca507758234dcf754a7adc458dd574b70a285d7
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- Wojciech Samek
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- Jacob R. Kauffmann
- Robert A. Vandermeulen
Citations in the corpus
- Permutation importance: a corrected feature importance measure (2010, background): “The V3 loop reached particular interest in the past, since it was found to be the major determinant of the virus’ coreceptor usage (Lengauer et al., 2007).”
- A Unifying Review of Deep and Shallow Anomaly Detection (2020, background): “Deep neural networks provide the most successful solutions for many tasks in domains, such as computer vision [84]–[93], speech recognition [94]–[103], or natural language processing [104]–[113] and have contributed to the sciences [114]–[123].”