An Inference Approach Combines Spatial And Temporal Gene Expression Data To Predict Gene Regulatory Networks In Arabidopsis Stem Cells
Maria Angels de Luis Balaguer, Adam P. Fisher, Natalie M. Clark, Maria Guadalupe Fernandez-Espinosa, Barbara K. Möller, Dolf Weijers, Jan U. Lohmann, Cranos Williams, Oscar Lorenzo, Rosangela Sozzani
This study combines spatial and temporal gene expression data with computational methods to predict gene regulatory networks in Arabidopsis stem cells, identifying PERIANTHIA as a key regulator of quiescent center function.
bioRxiv · May 19, 2017 · PreprintPlant Biology