Search
CSV
RISSuitability of sequence-based feature vector for classification algorithm improves accuracy of human protein-protein interaction prediction: a red blood cell case study
To classify human protein-protein interaction information and consolidate existing data, supervised learning algorithms are implemented. These algorithms require a feature vector to generate a prediction model and feature ...
Prediction of protein-protein interactions in red blood cell tissue based on protein primary structure
Question: Protein-protein interaction information in human
tissue is key to understanding disease mechanisms and consequently
designing of new drugs. Completion of human genome
project opened up new ...
Classification of protein-protein interactions in human red blood cells based on protein physicochemical properties
A new feature was introduced and implemented to reconstruct a feature vector in support vector machine (SVM) method to classify protein–protein interactions (PPIs) in human red blood cells (RBCs). The feature is based on ...
پیش بینی و اعتبار سنجی تعامل های پروتئین پروتئین در گلبول های قرمز خون بر اساس زنجیره های جانبی آمینو اسیدی در ساختار اولیه پروتئین
در پیوست آمده است.
preparation and application of nano emulsion in the last decade(2000_2010)
Emulsion is a system containing two immiscible phases: a dispersed phase and a continuous phase. Components needed to prepare an emulsion are oil, water, surfactant and energy. The nature of surfactant determines the type ...