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Electronic health record signatures identify undiagnosed patients with common variable immunodeficiency disease.
- Published in:
- Science Translational Medicine, 2024, v. 16, n. 745, p. 1, doi. 10.1126/scitranslmed.ade4510
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- Article
Optimized high-throughput screening of non-coding variants identified from genome-wide association studies.
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- Nucleic Acids Research, 2023, v. 51, n. 3, p. e18, doi. 10.1093/nar/gkac1198
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- Article
Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative.
- Published in:
- Genome Medicine, 2022, v. 14, n. 1, p. 1, doi. 10.1186/s13073-022-01106-x
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- Article
Author Correction: Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative.
- Published in:
- 2022
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- Correction Notice
Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative.
- Published in:
- Genome Medicine, 2022, v. 14, n. 1, p. 1, doi. 10.1186/s13073-022-01106-x
- By:
- Publication type:
- Article
Leveraging eQTLs to identify individual-level tissue of interest for a complex trait.
- Published in:
- PLoS Computational Biology, 2021, v. 17, n. 5, p. 1, doi. 10.1371/journal.pcbi.1008915
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- Article
Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis.
- Published in:
- Nature Communications, 2020, v. 11, n. 1, p. 1, doi. 10.1038/s41467-020-19365-w
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- Publication type:
- Article