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After probe filtering, the missing expression data were imputed using nearest neighbor averaging.
The EM_array approach constitutes one efficient method for restoring the missing expression gene values, with a lower estimation error level.
Therefore, it is important to develop a strategy which could use the observed information fully for restoring the missing expression gene values.
Therefore, RMI is a hybrid imputation method, and has several distinguished advantages over other methods for restoring the missing expression gene values.
Supposed DAB means the Euclidean distance between Gene A and Gene B and k genes are selected to estimate the missing expression value for Gene A. The weight of gene is: Given an example in Table 1, GeneC has a missing value in sample 1 and we compute DAC = 4.06, DBC = 3.24, and DDC = 6.94.
Except for the splice variant TβRIB, PC-3 cells also expressed all receptor splice variants, whereas LNCaP cells did not express TGF-β2B which is in line with the missing expression of all TGF-β ligands.
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The last 5 collumns show the number of missing expression values per transcript (blanks) and if at least 80% of signals in the microarray per gene met our quality standards (80% filter; 1=yes, 0=no); furthermore correlation coefficient (Pearson) and t- and p-values are listed for each gene.
The algorithm predicted missing expression values in gene regulatory networks, and could be applied to contextualize the network when all the expression values in two attractors are known.
f Number of genes filtered by excluding the genes with missing expression in at least one sample.
We relax the criteria to allow missing expression in a small fraction of tissues so that the size of UEHGs is less sensitive to the number of tissues being examined.
Automatic imputation of missing expression data, using the nearest neighbor algorithm, is also performed.
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