Functional classification of proteins using a nearest neighbour algorithm

Autor:	Hans-Peter, Keck, Thomas, Wetter
Rok vydání:	2003
Předmět:	Sequence Analysis Protein Software Design Proteins Programming Languages Databases Protein Algorithms
Zdroj:	In silico biology. 3(3)
ISSN:	1386-6338
Popis:	With the large volume of genomic data being analysed nowadays it becomes extremely important to provide automated ways of protein classification to give the scientist a good overview of the analysed data. The system described here is very flexible and can be used with any given protein classification scheme. Before using the system, it has to be trained with a set of already classified proteins. Afterwards, other proteins can be classified by the system automatically. Several tests have been performed to assess the quality of this classification; they have shown the usefulness of the system. The system will be available as part of a commercial software package.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=pmid________::ca29d81d7572ac63a1587751b1541881 https://pubmed.ncbi.nlm.nih.gov/12954089 Zobrazit plný text záznamu Plný text ve formátu PDF