A Comprehensive Bioinformatic Analysis for Identification of Myeloid-Associated Differentiation Marker as a Potential Negative Prognostic Biomarker in Non-Small-Cell Lung Cancer.

Results Construction of Co-Expression Module in Weighted Gene Co-Expression Network Analysis To recognize highly significant co-expression module genes, we correlated them with normal and tumor groups, and selected a soft threshold of β = 2 and 6 by the function pickSoftThreshold to establish a scale-free network.In this study, night modules of TCGA and 20 modules of GSE74706 were identified (excluding grey module which contained genes were not assigned to any functional group).

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