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Cancer classification based on microarray gene expression data using a principal component accumulation method 认领 引用 被引量：2
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作者 LIU JingJing CAI WenSheng SHAO XueGuang 《Science China Chemistry》 SCIE EI CAS 2011年第5期802-811,共10页
The classification of cancer is a major research topic in bioinformatics.The nature of high dimensionality and small size associated with gene expression data,however,makes the classification quite challenging.Althoug... The classification of cancer is a major research topic in bioinformatics.The nature of high dimensionality and small size associated with gene expression data,however,makes the classification quite challenging.Although principal component analysis(PCA)is of particular interest for the high-dimensional data,it may overemphasize some aspects and ignore some other important information contained in the richly complex data,because it displays only the difference in the first twoor three-dimensional PC subspaces.Based on PCA,a principal component accumulation(PCAcc)method was proposed.It employs the information contained in multiple PC subspaces and improves the class separability of cancers.The effectiveness of the present method was evaluated by four commonly used gene expression datasets,and the results show that the method performs well for cancer classification. 展开更多
关键词 cancer classification principal component analysis principal component accumulation gene expression data
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Volatile oil concentration and growth of thyme(Thymus vulgaris L.)plants responded to red to blue light ratios 认领 引用 被引量：1
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作者 Hassan Essam Ali Yuxin Tong 《Technology in Horticulture》 2023年第1期188-194,共7页
The objective of this study was to evaluate the growth and volatile oil concentrations of thyme(Thymus vulgaris L.)plants under different red to blue light ratios of 4:1(R4B1),2:1(R2B1),1:1(R1B1),and 1:2(R1B2)with lig... The objective of this study was to evaluate the growth and volatile oil concentrations of thyme(Thymus vulgaris L.)plants under different red to blue light ratios of 4:1(R4B1),2:1(R2B1),1:1(R1B1),and 1:2(R1B2)with light-emitting diodes(LEDs)and fluorescent light(FL)in a plant factory.Thyme plants were sampled at three intervals of 12,24,and 36 d after treatment.The results showed that the growth and medicinal components accumulation of thyme plants were significantly affected by different light qualities.The significant higher biomass,leaf area,and volatile oil concentrations of thyme plants were obtained under treatment R4B1 compared with treatment FL,regardless of the cultivation period.When analyzing the volatile oil constituents of thyme plants,thymol,γ-terpinene,p-cymene andα-terpinene were detected as the main constituents.However,the response of these different constituents varied with different light qualities.The above results indicated that the targeted constituent concentrations could be manipulated by employing different light qualities according to various purposes.Based on the above results,R4B1 can be considered as the optimal light treatment for thyme plants growth and volatile oil production in a closed production system with LEDs. 展开更多
关键词 volatile oil concentrations plant growth thymus vulgaris LED lights red blue light ratios fluorescent light fl volatile oil medicinal components accumulation
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