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1. 发明申请

US20140088937A1 Methods of Predicting The Probability of Modulation of Transcript Levels By RNAI Compounds 审中-公开
标题翻译：通过RNAI化合物预测转录水平调节概率的方法
公开(公告)号：US20140088937A1
公开(公告)日：2014-03-27
申请号：US14091459
申请日：2013-11-27
申请人： Duncan Brown , Julja Burchard , Eugen C. Buehler
发明人： Duncan Brown , Julja Burchard , Eugen C. Buehler
IPC分类号： G06F19/12
CPC分类号： G16B5/00 , G16B20/00
摘要： The present invention provides a method for determining the probability that an RNAi compound modulates the expression level of a gene using a linear regression model. The present invention also provides a method for determining the probabilities that an RNAi compound modulates the expression levels of each gene in a set of genes of interest using the linear regression model. The present invention provides a method for determining the seed-sequence-dependent signature size of an RNAi compound using the linear regression model. The invention provides a method for identifying genes having seed-sequence-dependent silencing effect by an siRNA using the linear regression model. The invention further provides a method for selecting from a plurality of siRNAs one or more siRNAs with higher silencing efficacy, specificity and diversity in silencing a target gene in an organism. The invention also provides a method for determining the coefficients of the above linear regression model.
摘要翻译：本发明提供了使用线性回归模型确定RNAi化合物调节基因表达水平的可能性的方法。本发明还提供了使用线性回归模型确定RNAi化合物调节一组感兴趣基因中的每个基因的表达水平的概率的方法。本发明提供了使用线性回归模型确定RNAi化合物的种子序列依赖性特征大小的方法。本发明提供一种使用线性回归模型鉴定siRNA的具有种子序列依赖性沉默效应的基因的方法。本发明还提供了从多个siRNA中选择一种或多种沉默效力，特异性和沉默生物体中靶基因多样性的siRNA的方法。本发明还提供了一种用于确定上述线性回归模型的系数的方法。

2. 发明申请

US20120072123A1 Methods of Predicting The Probability of Modulation of Transcript Levels By RNAI Compounds 审中-公开
标题翻译：通过RNAI化合物预测转录水平调节概率的方法
公开(公告)号：US20120072123A1
公开(公告)日：2012-03-22
申请号：US13322931
申请日：2010-05-27
申请人： Duncan Brown , Julja Burchard , Eugen C. Buehler
发明人： Duncan Brown , Julja Burchard , Eugen C. Buehler
IPC分类号： G06F19/20
CPC分类号： G16B5/00 , G16B20/00
摘要： The present invention provides a method for determining the probability that an RNAi compound modulates the expression level of a gene using a linear regression model. The present invention also provides a method for determining the probabilities that an RNAi compound modulates the expression levels of each gene in a set of genes of interest using the linear regression model. The present invention provides a method for determining the seed-sequence-dependent signature size of an RNAi compound using the linear regression model. The invention provides a method for identifying genes having seed-sequence-dependent silencing effect by an siRNA using the linear regression model. The invention further provides a method for selecting from a plurality of siRNAs one or more siRNAs with higher silencing efficacy, specificity and diversity in silencing a target gene in an organism. The invention also provides a method for determining the coefficients of the above linear regression model.
摘要翻译：本发明提供了使用线性回归模型确定RNAi化合物调节基因表达水平的可能性的方法。本发明还提供了使用线性回归模型确定RNAi化合物调节一组感兴趣基因中的每个基因的表达水平的概率的方法。本发明提供了使用线性回归模型确定RNAi化合物的种子序列依赖性特征大小的方法。本发明提供一种使用线性回归模型鉴定siRNA的具有种子序列依赖性沉默效应的基因的方法。本发明还提供了从多个siRNA中选择一种或多种沉默效力，特异性和沉默生物体中靶基因多样性的siRNA的方法。本发明还提供了一种用于确定上述线性回归模型的系数的方法。

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