Author

Barbara K. Möller

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Plant Biology· 1

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Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Adam P. Fisher· 1 shared Cranos WilliamsiD· 1 shared Dolf Weijers· 1 shared Jan U. Lohmann· 1 shared Maria Angels de Luis Balaguer· 1 shared Maria Guadalupe Fernandez-Espinosa· 1 shared Natalie M. ClarkiD· 1 shared Oscar Lorenzo· 1 shared

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2017-2017 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperPlant Biology

Adam P. Fisher

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1 paper

Recent·Most cited

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