Home/ Publications/ A convolutional neural network for predicting transcriptional regulators of genes in Arabidopsis transcriptome data reveals classification based on positive regulatory interactions A convolutional neural network for predicting transcriptional regulators of genes in Arabidopsis transcriptome data reveals classification based on positive regulatory interactions Published: 14.05.19 Authors: MacLean D (2019) Reference: bioRxiv preprint Apr 28, 2019 doi: https://doi.org/10.1101/618926 Recent publications See all Published: 24.04.26 Two genes, one switch: a bidirectional promoter strategy for inducible plant immunity Published: 21.04.26 A phosphorelay circuit drives extracellular alkalinization in receptor kinase-mediated immune and cell-wall damage signaling Published: 20.04.26 Phytophthora targets plant extracellular vesicles to promote infection
Published: 24.04.26 Two genes, one switch: a bidirectional promoter strategy for inducible plant immunity
Published: 21.04.26 A phosphorelay circuit drives extracellular alkalinization in receptor kinase-mediated immune and cell-wall damage signaling