【摘 要】
：
Background: The changing environmental conditions have a significant impact on the survival and growth of plants.To cope with these abiotic stresses, including cold, drought, heat, osmotic press, salt
【机 构】
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信息技术与传播学院,曲阜师范大学,日照,276826;生物计算中心,深圳研究生院,哈尔滨工业大学,深圳,518055
【出 处】
：
第六届全国生物信息学与系统生物学学术大会暨国际生物信息学前沿研讨会
论文部分内容阅读
Background: The changing environmental conditions have a significant impact on the survival and growth of plants.To cope with these abiotic stresses, including cold, drought, heat, osmotic press, salt, UV-B light stresses, etc., plants have their own defense mechanisms to adapt the complex and changeful environment.Hence, it becomes an urgent issue how to extract the characteristic genes from gene expression data in an effective way.Many sparse methods, such as Penalized Matrix Decomposition (PMD) and sparse principal component analysis, have been applied to extract plants characteristic genes.
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