Predicting protein function by machine learning on amino acid sequences – a critical evaluation

BACKGROUND: Predicting the function of newly discovered proteins by simply inspecting their amino acid sequence is one of the major challenges of post-genomic computational biology, especially when done without recourse to experimentation or homology information. Machine learning classifiers are abl...

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Detalles Bibliográficos
Autores principales: Al-Shahib, Ali, Breitling, Rainer, Gilbert, David R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1847686/
https://www.ncbi.nlm.nih.gov/pubmed/17374164
http://dx.doi.org/10.1186/1471-2164-8-78

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1847686/
https://www.ncbi.nlm.nih.gov/pubmed/17374164
http://dx.doi.org/10.1186/1471-2164-8-78

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