Fig. 3: Weighted-gene coexpression network analysis for grapevine RNA-seq data. | Horticulture Research

Fig. 3: Weighted-gene coexpression network analysis for grapevine RNA-seq data.

From: The grapevine (Vitis vinifera L.) floral transcriptome in Pinot noir variety: identification of tissue-related gene networks and whorl-specific markers in pre- and post-anthesis phases

Fig. 3

Analysis of network topology for various soft-thresholding powers showing A the scale-free fit index (y-axis) as a function of the soft-thresholding power (x-axis) and B mean connectivity (degree, y-axis) as a function of the soft-thresholding power (x-axis). C Cluster dendrogram of module eigengenes. Branches of the dendrogram group together eigengenes that are positively correlated. The red line is the merging threshold, and groups of eigengenes below the threshold represent modules whose expression profiles should be merged due to their similarity. D Hierarchical cluster dendrogram showing co-expressed modules identified by weighted-gene coexpression network analysis for the grapevine flower RNA-seq data. Each leaf on the tree represents a gene. The major tree branches constitute 20 merged modules (based on a threshold of 0.25), labeled with different colors

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