scholarly journals Probabilistic model and experimental identification of screw-attachment in plasterboard

2009 ◽  
Author(s):  
T. T. Do ◽  
C. Soize ◽  
J.-V. Heck
Keyword(s):  
Probabilistic Model ◽  
Experimental Identification

ICM-based experimental identification of couple unbalance for GyroWheel system

2017 ◽  
Author(s):  
Haiyuan Liu ◽  
Xin Huo ◽  
Zhaosheng Guo ◽  
Sizhao Feng ◽  
Yongjiang Pi ◽  
...  
Keyword(s):  
Experimental Identification

Probabilistic model for distributed generation expansion in distribution power network

2011 ◽  
pp. 1366-1371 ◽  
Author(s):  
C. Ponce Corral ◽  
H. Bludszuweit ◽  
J.A. Domínguez Navarro
Keyword(s):  
Distributed Generation ◽  
Probabilistic Model ◽  
Power Network ◽  
Generation Expansion ◽  
Distribution Power Network

Assessment and Analysis of Credit Risk with Using of Logical and Probabilistic Model

2002 ◽  
Author(s):  
Vassilij Karassev ◽  
Andrey Roukine ◽  
E.D. Dmitrievich Solojentsev
Keyword(s):  
Credit Risk ◽  
Probabilistic Model

A Survey on Computational Methods for Essential Proteins and Genes Prediction

2019 ◽  
Vol 14 (3) ◽  
pp. 211-225 ◽  
Author(s):  
Ming Fang ◽  
Xiujuan Lei ◽  
Ling Guo
Keyword(s):  
Computational Methods ◽  
Drug Targets ◽  
Disease Genes ◽  
Essential Proteins ◽  
Experimental Identification ◽  
Cellular Life ◽  
Different Types ◽  
The Stability ◽  
Human Disease Genes ◽  
Biology Research

Background: Essential proteins play important roles in the survival or reproduction of an organism and support the stability of the system. Essential proteins are the minimum set of proteins absolutely required to maintain a living cell. The identification of essential proteins is a very important topic not only for a better comprehension of the minimal requirements for cellular life, but also for a more efficient discovery of the human disease genes and drug targets. Traditionally, as the experimental identification of essential proteins is complex, it usually requires great time and expense. With the cumulation of high-throughput experimental data, many computational methods that make useful complements to experimental methods have been proposed to identify essential proteins. In addition, the ability to rapidly and precisely identify essential proteins is of great significance for discovering disease genes and drug design, and has great potential for applications in basic and synthetic biology research. Objective: The aim of this paper is to provide a review on the identification of essential proteins and genes focusing on the current developments of different types of computational methods, point out some progress and limitations of existing methods, and the challenges and directions for further research are discussed.

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