Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers
- Author
- LUNDEGAARD, Claus1 ; LUND, Ole1 ; NIELSEN, Morten1
[1] Center for Biological Sequence Analysis -CBS, Department of Systems Biology, The Technical University of Denmark -DTU, Kemitorvet Build. 208, 2800 Lyngby, Denmark - Source
Bioinformatics (Oxford. Print). 2008, Vol 24, Num 11, pp 1397-1398, 2 p ; ref : 1/4 p
- ISSN
- 1367-4803
- Scientific domain
- Bioinformatics
- Publisher
- Oxford University Press, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Antigène histocompatibilité classe I Bioinformatique Méthode Peptide Prédiction Système histocompatibilité majeur
- Keyword (en)
- Class I histocompatibility antigen Bioinformatics Method Peptides Prediction Major histocompatibility system
- Keyword (es)
- Antígeno histocompatibilidad clase I Bioinformática Método Péptido Predicción Sistema histocompatibilidad mayor
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A01 General aspects / 002A01B Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
- Discipline
- Biological sciences. Generalities. Modelling. Methods Generalities in biological sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20400743
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1093/bioinformatics/btn128 
https://dx.doi.org/10.1093/bioinformatics/btn128
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