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: 02.12.25 The Pik NLR pair accumulates at the plasma membrane as a hetero-oligomeric sensor-helper immune protein complex prior to activation Published: 27.11.25 Tangerine: a Starship-like element in the genomes of Xanthoria lichen-forming fungi Published: 20.11.25 Regulation of the activity of a tetra-modular lytic polysaccharide monooxygenase from Enterobacter cloacae by inter-domain copper coordination
Published: 02.12.25 The Pik NLR pair accumulates at the plasma membrane as a hetero-oligomeric sensor-helper immune protein complex prior to activation
Published: 27.11.25 Tangerine: a Starship-like element in the genomes of Xanthoria lichen-forming fungi
Published: 20.11.25 Regulation of the activity of a tetra-modular lytic polysaccharide monooxygenase from Enterobacter cloacae by inter-domain copper coordination
