基于多平台基因表达数据的水稻干旱和盐胁迫相关基因预测
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						       		刘亚文, 张红燕, 曹丹, 李兰芝
						  	
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					Prediction of drought and salt stress-related genes in rice based on multi-platform gene expression data
				
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						       		LIU Ya-Wen, ZHANG Hong-Yan, CAO Dan, LI Lan-Zhi
						  	
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		表2 Hub基因的分类精度
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		Table 2 Classification accuracy of Hub genes
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			   胁迫  Stress |  Hub基因集  Hub gene set |  基因数目  Number of genes |  数据集  Data set |  平均精度  Average accuracy (%) |     | 干旱Drought |  D_affy_P |  220 |  D_affy |  100 |     |  D_affy_MIC |  104 |  D_affy |  100 |     |  D_rnaseq_P |  738 |  D_rnaseq |  90.0 |     |  D_rnaseq_MIC |  1634 |  D_rnaseq |  91.0 |     |  D_meta_hub |  1936 |  D_affy |  100 |    | D_rnaseq |  96.0 |    | 盐Salt |  S_affy_P |  470 |  S_affy |  100 |     |  S_affy_MIC |  293 |  S_affy |  100 |     |  S_rnaseq_P |  684 |  S_rnaseq |  81.0 |     |  S_rnaseq_MIC |  331 |  S_rnaseq |  84.6 |     |  S_meta_hub |  1504 |  S_affy |  100 |    | S_rnaseq |  84.6 |   
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