Protein-Protein Interactions Classification: Based on Recurrent Neural Network - Couverture souple

Kaur, Dilpreet; Singh, Shailendra

 
9783659260865: Protein-Protein Interactions Classification: Based on Recurrent Neural Network
Couverture souple
ISBN 10 : 365926086X ISBN 13 : 9783659260865
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Proteomics is the large-scale study of proteins, particularly their structures and functions. Proteins are vital parts of living organisms, as they are the main components of the physiological metabolic pathways of cells. Most proteins function in collaboration with other proteins and one goal of proteomics is to identify which proteins interact. This is especially useful in determining potential partners in cell signaling cascades. A number of techniques have been developed for the identification and classification of protein-protein interactions. The techniques developed in past years are still far from perfect. The Jordan neural network classification model tries to overcome this problem. The Jordan Neural Network takes amino acid composition of protein pairs to classify them interacting and non-interacting. Jordan neural network classification model outperforms the other methods for protein-protein interaction classification. Jordan neural network classification model proves to be better model with higher accuracy along with improved specificity and sensitivity than the various existing techniques.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Proteomics is the large-scale study of proteins, particularly their structures and functions. Proteins are vital parts of living organisms, as they are the main components of the physiological metabolic pathways of cells. Most proteins function in collaboration with other proteins and one goal of proteomics is to identify which proteins interact. This is especially useful in determining potential partners in cell signaling cascades. A number of techniques have been developed for the identification and classification of protein-protein interactions. The techniques developed in past years are still far from perfect. The Jordan neural network classification model tries to overcome this problem. The Jordan Neural Network takes amino acid composition of protein pairs to classify them interacting and non-interacting. Jordan neural network classification model outperforms the other methods for protein-protein interaction classification. Jordan neural network classification model proves to be better model with higher accuracy along with improved specificity and sensitivity than the various existing techniques.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
365926086X
ISBN 13 
9783659260865
Reliure
Broché
Nombre de pages
88
Coordonnées du fabricant
non disponible
Personne responsable
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