Enhancing Gene Expression Predictions Using Deep Learning and Functional Annotations

NIA NIH HHS

Grant: U01 AG073079

NIA NIH HHS

Grant: R01 AG065636

NIA NIH HHS

Grant: R01 AG067924

NIA NIH HHS

Grant: R01 AG069895

NIA NIH HHS

Grant: RF1 AG067924

National Institutes of Health

Grant: 5R01AG065636-02

Discovering causal genes, brain regions and other risk factors for Alzheimer'a disease

National Institutes of Health

Grant: 1RF1AG067924-01

Integrating Alzheimer's disease GWAS with proteomic and metabolomic QTL data

National Institutes of Health

Grant: 5U01AG073079-03

Causal and integrative deep learning for Alzheimer's disease genetics

National Institutes of Health

Grant: 1R01AG069895-01

Deep Learning with Neuroimaging Genetic Data for Alzheimer's Disease

This research was supported by NIH grants U01 AG073079, R01 AG065636, R01 AG069895, and RF1 AG067924, and by the Minnesota Supercomputing Institute at the University of Minnesota. The Genotype-Tissue Expression (GTEx) Project was supported by the Common Fund of the Office of the Director of the National Institutes of Health, and by NCI, NHGRI, NHLBI, NIDA, NIMH, and NINDS; the GTEx data were obtained from dbGaP Project #26511.

National Institutes of Health

This research was supported by NIH grants U01 AG073079, R01 AG065636, R01 AG069895, and RF1 AG067924, and by the Minnesota Supercomputing Institute at the University of Minnesota. The Genotype-Tissue Expression (GTEx) Project was supported by the Common Fund of the Office of the Director of the National Institutes of Health, and by NCI, NHGRI, NHLBI, NIDA, NIMH, and NINDS; the GTEx data were obtained from dbGaP Project #26511.