Latest

• Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learning
• Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes
• Leveraging multiple genomic data to prioritize disease-causing indels from exome sequencing data
• Simultaneous inference of phenotype-associated genes and relevant tissues from GWAS data via Bayesian integration of multiple tissue-specific gene networks
• Global inference of disease-causing single nucleotide variants from exome sequencing data
• Whole genome sequencing and its applications in medical genetics
• Prioritization of nonsynonymous single nucleotide variants for exome sequencing studies via integrative learning on multiple genomic data