Identifying Combinatorial Growth Inhibitory Effects of Various Plant Extracts on Leukemia Cells through Systematic Experimental Design

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ISSN Print: 2158-2742
ISSN Online: 2158-2750
www.scirp.org/journal/ajps
E-mail: ajps@scirp.org

"Identifying Combinatorial Growth Inhibitory Effects of Various Plant Extracts on Leukemia Cells through Systematic Experimental Design"
written by Kenneth Theng Wan Cheong, Kyaw Htay, Royston Heng Chye Tan, Mayasari Lim,
published by American Journal of Plant Sciences, Vol.3 No.10, 2012

has been cited by the following article(s):

[1]	Designing Uniform Computer Sequential Experiments with Mixture Levels Using Lee Discrepancy
	Journal of Systems Science and Complexity, 2019

[2]	A catalog of optimal foldover plans for constructing U-uniform minimum aberration four-level combined designs
	Journal of Applied Statistics, 2018

[3]	New foundations for designing U-optimal follow-up experiments with flexible levels
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[4]	Constructing optimal router bit life sequential experimental designs: New results with a case study
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[5]	Choice of optimal second stage designs in two-stage experiments
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[6]	A closer look at de-aliasing effects using an efficient foldover technique
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[1]	Designing Uniform Computer Sequential Experiments with Mixture Levels Using Lee Discrepancy Journal of Systems Science and Complexity, 2019 DOI:10.1007/s11424-018-7173-1

[2]	A catalog of optimal foldover plans for constructing U-uniform minimum aberration four-level combined designs Journal of Applied Statistics, 2018 DOI:10.1080/02664763.2018.1545013

[3]	A closer look at de-aliasing effects using an efficient foldover technique Statistics, 2017 DOI:10.1080/02331888.2016.1240682

[4]	Constructing optimal router bit life sequential experimental designs: New results with a case study Communications in Statistics - Simulation and Computation, 2017 DOI:10.1080/03610918.2017.1397164

[5]	Choice of optimal second stage designs in two-stage experiments Computational Statistics, 2017 DOI:10.1007/s00180-017-0778-3

[6]	New foundations for designing U-optimal follow-up experiments with flexible levels Statistical Papers, 2017 DOI:10.1007/s00362-017-0963-z

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