2012
DOI: 10.1002/qre.1308
|View full text |Cite
|
Sign up to set email alerts
|

Use of Fractional Factorial Designs in Antiviral Drug Studies

Abstract: Experimental design and analysis is an effective and commonly used tool in scientific investigations and industrial applications. Many successful applications have been reported in engineering domains, such as chemical engineering, electrical engineering, and mechanical engineering. However, few cases have been reported in biological research, particularly in virology study. Antiviral drug combinations are increasingly used to reduce possible drug‐resistant viral mutant and reduce cytotoxicity. Drug combinatio… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
25
0

Year Published

2014
2014
2019
2019

Publication Types

Select...
7
1

Relationship

4
4

Authors

Journals

citations
Cited by 32 publications
(26 citation statements)
references
References 22 publications
1
25
0
Order By: Relevance
“…where , , and are the intercept, linear, quadratic, and bilinear (or interaction) terms30. The “observed” values represent the experimental data (ACS) and the “fitted” results represent the model predictions for the same drug combinations.…”
Section: Resultsmentioning
confidence: 99%
“…where , , and are the intercept, linear, quadratic, and bilinear (or interaction) terms30. The “observed” values represent the experimental data (ACS) and the “fitted” results represent the model predictions for the same drug combinations.…”
Section: Resultsmentioning
confidence: 99%
“…Half‐normal effects plots for the Ding et al data, α = 10% (at α = 5%, all plots show D, E, and D:E, plot (b) also B) The line indicates a null reference line under the estimated pure error.…”
Section: Incorporation Of Error Contrasts Into Half‐normal Effects Plmentioning
confidence: 99%
“…Section 2 provides notation and presents the existing methods, using an example by Montgomery Section 3. presents the proposed method and details two specific scenarios, a replicated center point and a fully replicated design; the latter is demonstrated using data published by Ding et al and unpublished data of an experiment from the author's industrial practice. Based on a simulation study, some detail for which is reported in the Supporting Information, Section 4 discusses the properties of the proposed method in comparison to its competitors.…”
Section: Introductionmentioning
confidence: 99%
“…Through the Fractional Factorial algorithm (FFA) [5], 5 2 times can reach the optimal value. Designed for FFA, the current platform not only can quickly ensemble all 5 drugs with desired amount for each test but also can in-parallel deliver into each well for drug/cells testing.…”
Section: Conceptmentioning
confidence: 99%