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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.
Probes with missing expression values were excluded from analysis.
Therefore, if either Hh or Wg is missing, expression of both is lost.
After probe filtering, the missing expression data were imputed using nearest neighbor averaging.
K Nearest Neighbor (KNN) imputation [52] was used to impute missing expression values in the source data sets, using the function impute.knn of the R package impute with default parameters (including k = 10).
Missing expression values were imputed via ImputeMissingValuesKNN module.
Similar(26)
By studying only what urban Africans and youth seek to gain in the new interstices, fracture lines and connections of increasingly informalized, privatized and globalized economies, we risk missing expressions of attachment to forms of stability, regulation and citizenship that are associated with older economic and political orders, and a sense of loss.
Considering the DNA variant annotation performed by EMU, tmVar and SETH, we find that all the tools missed expressions such as codon 33: C>A, expression that resembles the protein variants A1796 and very complex expressions.
Many were verbose expressions, e.g. 1799T to A. SETH, in addition to the examples mentioned above, missed expressions that do not exactly follow the HGVS nomenclature, e.g. C1668C > T, even though it recovered the larger set of DNA variants.
In other words, that this epigenetic modification could detect differences in gene expression missed by expression arrays.
Since the modules were identified independently of the expression datasets, situations occasionally arose in which some modules had missing gene expression values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com