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: 29.07.26 The Arabidopsis SPFH protein HIR2 modulates receptor signaling and plasma membrane organization Published: 29.07.26 Decoding plants cell by cell: opportunities and challenges in single-cell and spatial biology Published: 16.07.26 Contrasting evolutionary patterns of helper and sensor NRC NLRs in lettuce reflect functional divergence following subfunctionalization
Published: 29.07.26 The Arabidopsis SPFH protein HIR2 modulates receptor signaling and plasma membrane organization
Published: 29.07.26 Decoding plants cell by cell: opportunities and challenges in single-cell and spatial biology
Published: 16.07.26 Contrasting evolutionary patterns of helper and sensor NRC NLRs in lettuce reflect functional divergence following subfunctionalization