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: 26.01.26 NLR immune receptors can exhibit tissue-specific expression patterns across legume species Published: 14.01.26 AMBER and GOLD: Polycistronic Genes for Betaxanthin Production in Plants Published: 10.01.26 PRRs and NLRs sans frontières: advances and challenges in transfer of immune receptors between plant species
Published: 26.01.26 NLR immune receptors can exhibit tissue-specific expression patterns across legume species
Published: 10.01.26 PRRs and NLRs sans frontières: advances and challenges in transfer of immune receptors between plant species
