Two ge neral classes of search designs for factor screening experiments with factors at three levels

Metrika ◽  
2001 ◽  
Vol 54 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Subir Ghosh ◽  
Colleen Burns
Keyword(s):  
Factor Screening ◽  
Screening Experiments ◽  
Search Designs

The Performance of Two-Stage Group Screening in Factor Screening Experiments

Technometrics ◽  
1982 ◽  
Vol 24 (4) ◽  
pp. 325 ◽  
Author(s):  
Carl A. Mauro ◽  
Dennis E. Smith
Keyword(s):  
Two Stage ◽  
Factor Screening ◽  
Screening Experiments

Crashworthiness optimization design of honeycomb sandwich panel based on factor screening

2012 ◽  
Vol 14 (6) ◽  
pp. 655-678 ◽  
Author(s):  
Shujuan Hou ◽  
Lili Ren ◽  
Duo Dong ◽  
Xu Han
Keyword(s):  
Optimization Design ◽  
Sandwich Panel ◽  
Honeycomb Core ◽  
Factor Screening ◽  
Specific Energy Absorption ◽  
Crashworthiness Optimization ◽  
Screening Experiments ◽  
Crushing Force ◽  
Honeycomb Sandwich ◽  
Robust Optimization Design

This paper presents a crashworthiness robust optimization design of aluminum honeycomb sandwich panel with regular hexagonal core cell based on explicit finite element analysis. First, the crashworthiness of honeycomb sandwich panel and the bare honeycomb core are compared with each other in the aspects of specific energy absorption and peak crushing force. The comparative results show that honeycomb sandwich panel can absorb more energy than the bare honeycomb core, though the peak crushing force of honeycomb sandwich panel is larger. Then the factor screening experiments are carried out to find out variables that have significant effects on the crashworthiness of honeycomb sandwich panel. The ultimate purpose of factor screening experiments is to decrease the computational expense by reducing the number of design variables. Finally, the dual response surface method and the crossed array design are employed to formulate the complex robust optimization design problem. The regression expressions of specific energy absorption and peak crushing force are defined as the objective and constraint function respectively in the robust design of crashworthiness optimization.

Development and Application of Computational Methods in Phage Display Technology

2020 ◽  
Vol 26 (42) ◽  
pp. 7672-7693 ◽  
Author(s):  
Bifang He ◽  
Anthony Mackitz Dzisoo ◽  
Ratmir Derda ◽  
Jian Huang
Keyword(s):  
Phage Display ◽  
Computational Methods ◽  
Peptide Ligands ◽  
Next Generation ◽  
Phage Display Technology ◽  
Next Generation Sequencing Technology ◽  
Screening Experiments ◽  
Display Technology ◽  
Comprehensive Search ◽  
Generation Sequencing

Background: Phage display is a powerful and versatile technology for the identification of peptide ligands binding to multiple targets, which has been successfully employed in various fields, such as diagnostics and therapeutics, drug-delivery and material science. The integration of next generation sequencing technology with phage display makes this methodology more productive. With the widespread use of this technique and the fast accumulation of phage display data, databases for these data and computational methods have become an indispensable part in this community. This review aims to summarize and discuss recent progress in the development and application of computational methods in the field of phage display. Methods: We undertook a comprehensive search of bioinformatics resources and computational methods for phage display data via Google Scholar and PubMed. The methods and tools were further divided into different categories according to their uses. Results: We described seven special or relevant databases for phage display data, which provided an evidence-based source for phage display researchers to clean their biopanning results. These databases can identify and report possible target-unrelated peptides (TUPs), thereby excluding false-positive data from peptides obtained from phage display screening experiments. More than 20 computational methods for analyzing biopanning data were also reviewed. These methods were classified into computational methods for reporting TUPs, for predicting epitopes and for analyzing next generation phage display data. Conclusion: The current bioinformatics archives, methods and tools reviewed here have benefitted the biopanning community. To develop better or new computational tools, some promising directions are also discussed.

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