Network aggregation improves gene function prediction of grapevine gene co-expression networks
Aggregation across multiple networks highlights robust co-expression interactions and improves the functional connectivity of grapevine gene co-expression networks. Abstract In recent years, the rapid accumulation of transcriptome datasets from diverse experimental conditions has enabled the widespread use of gene co-expression network (GCN) analysis in plants. In grapevine, GCN analysis has shown great promise for gene function prediction, however, measurable progress is currently lacking....[Show more]
|Collections||ANU Research Publications|
|Source:||Plant Molecular Biology|
|01_Wong_Network_aggregation_improves_2020.pdf||6.06 MB||Adobe PDF||Request a copy|
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