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Protein-Protein Interactions Classification

Name: Protein-Protein Interactions Classification
Brand: LAP Lambert Academic Publishing
SKU: 9783659260865
Price: 42.48 EUR
Availability: InStock

Based on Recurrent Neural Network

Autor: Dilpreet Kaur, Shailendra Singh

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP Lambert Academic Publishing

Dostupnosť: Skladom u dodávateľa

Odosielame za 5-8 dní

42.48 €

Proteomics is the large-scale study of proteins, particularly their structures and functions. Protei...

Informácie o knihe

Autor

Dilpreet Kaur, Shailendra Singh

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2012

Stránok

EAN

9783659260865

Enbook ID

06983591

Vydavateľ

LAP Lambert Academic Publishing

Hmotnosť

147

Rozmery

150 x 220 x 5

Kompletný popis

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.