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: 08.03.26 Plasma membrane nanoscale dynamics of Arabidopsis leucine-rich repeat receptor kinase complexes Published: 06.03.26 The Receptor Kinase MEE39/ATHE Mediates Cell Wall Integrity Surveillance During Root Vascular Pathogen Infection Published: 04.03.26 Transposable Element Diversification and the Evolution of Peltigerales Lichen Symbionts
Published: 08.03.26 Plasma membrane nanoscale dynamics of Arabidopsis leucine-rich repeat receptor kinase complexes
Published: 06.03.26 The Receptor Kinase MEE39/ATHE Mediates Cell Wall Integrity Surveillance During Root Vascular Pathogen Infection
Published: 04.03.26 Transposable Element Diversification and the Evolution of Peltigerales Lichen Symbionts