Antonio Mora

Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network

Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome

Single-cell-resolution transcriptome map of human, chimpanzee, bonobo, and macaque brains

Effective gene expression prediction from sequence by integrating long-range interactions

Artificial intelligence in drug development: present status and future prospects

Applications of machine learning in drug discovery and development

Interpreting neural networks for biological sequences by learning stochastic masks

Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets

A novel framework for the identification of drug target proteins: Combining stacked auto-encoders with a biased support vector machine

GeneHancer: genome-wide integration of enhancers and target genes in GeneCards

Effects of protein interaction data integration, representation and reliability on the use of network properties for drug target prediction

In the loop: promoter–enhancer interactions and bioinformatics