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https://github.com/lcrawlab/i-LDSC
Code and simulations using interaction-LD score regression
https://github.com/lcrawlab/i-LDSC
epistasis gwas gwas-summary-statistics gwas-tools heritability heritability-estimation ld-score-regression
Last synced: 2 months ago
JSON representation
Code and simulations using interaction-LD score regression
- Host: GitHub
- URL: https://github.com/lcrawlab/i-LDSC
- Owner: lcrawlab
- License: gpl-3.0
- Created: 2022-07-11T03:38:19.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-23T21:28:46.000Z (9 months ago)
- Last Synced: 2024-04-23T23:13:20.444Z (9 months ago)
- Topics: epistasis, gwas, gwas-summary-statistics, gwas-tools, heritability, heritability-estimation, ld-score-regression
- Language: Python
- Homepage: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/W6MA8J
- Size: 15.4 GB
- Stars: 8
- Watchers: 4
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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- awesome-complex-trait-genetics - i-LDSC - LD score (i-LDSC) regression: Model an additional score that measures the amount of non-additive genetic variation that is tagged by each variant in the data. (genetic architecture / Univariate models (heritability/poligenicity/stratified/geneset enrichment etc))
- awesome-complex-trait-genetics - i-LDSC - LD score (i-LDSC) regression: Model an additional score that measures the amount of non-additive genetic variation that is tagged by each variant in the data. (genetic architecture / Univariate models (heritability/poligenicity/stratified/geneset enrichment etc))