片语

User Missing Value缺失值

Missing value treatments缺失值处理方式

global missing value定义整体缺失值

missing g value缺失值

Missing Value Functions缺失值函数

estimation of missing value缺项估计

Missing and Value不是空洞口号

Missing value handling缺失值处理

Missing Value Imputation缺失值填充

英汉例句

• with the kernel weight based on similarly between target gene and sample genes, which localize missing value estimation, a new method based on weighted regression is presented.

  利用相似性信息的核加权函数来实现缺失值回归估计的局部化，提出了基于加权回归估计的基因表达缺失值估计算法。

• in order to exclude the effect of dissimilar genes, a new missing value estimation method based on knn-svr is proposed.

  在不增加实验次数的情况下，缺失值估计是降低缺失数据对后续分析影响的有效方法。

• secondly, the dataset was transformed to a transaction database(tdb) through numbering all the effective data, eliminating the missing value and adding transaction identification for each point.

  然后，将数据集中所有有效数据统一编号，转化成一个类别型数据集，去掉空缺值并添加事务标识符后成为一个事务数据库。

• there is missing value in microarray experiments and it will affect the stability and precision of the expression data analysis.

  在基因芯片实验中，数据缺失客观存在，并在一定程度上影响芯片数据后续分析结果的準确性。

• results the multiply imputed data generated by mi procedure represent the uncertainty about the missing value and help us use data available to estimate population parameter more effectively.

  结果多重填补值显示出了缺失数据的不确定性，使得已有数据得到了充分利用，从而对总体参数做出了更为準确的估计。

• compared with increasing experiments, missing value estimating is preferred in reducing the influence of missing values on the post-processing.

  在不增加实验次数的情况下，缺失值估计是降低缺失数据对后续分析影响的有效方法。

• missing value list definition for the partition.

  缺少该分区的值列表定义。

• missing value list definition for the partition. in order to continue, define it accordingly.

  缺少该分区的值列表定义。要继续执行，请定义相应的值列表定义。

• in microarray experiments, the missing value does exist and somewhat affects the stability and precision of the expression data analysis.

  在不增加实验次数的情况下，缺失值估计是降低缺失数据对后续分析影响的有效方法。

• in microarray experiments, the missing value does exist and somewhat affect the stability and precision of the expression data analysis.

  在基因芯片实验中，数据缺失客观存在，并且在一定程度上会影响芯片数据后续分析结果的準确性。