jrs95

Genetic statistician with a keen interest in developing and applying methods to assess causal relationships in drug discovery.

Pinned Repositories

gassocplot
Regional association plots
Language:R25 2 38
gassocplot2
Regional association plots
Language:R25 1 55
geni.plots
GENI plots to visualise results from genome-wide association studies
Language:R20 1 31
hyprcoloc
Hypothesis Prioritisation in multi-trait Colocalization
Language:R45 3 3112
jlst
Joint mean and variance tests
Language:R2 1 01
lmrse
Linear regression with clustered robust standard errors
Language:R3 2 00
mvshape
Multivariate meta-analysis and fractional polynomial analysis to investigate the shape of exposure-outcome relationships
Language:R3 1 00
nlmr
Non-linear Mendelian randomization
Language:R50 2 410
phenoscanner
R package to query the PhenoScanner database of human genotype-phenotype associations
Language:R4 1 00
sclerostin_pqtl_mr
Language:R2 1 00

jrs95's Repositories

jrs95/nlmr
Non-linear Mendelian randomization
Language:R50 2 410
jrs95/hyprcoloc
Hypothesis Prioritisation in multi-trait Colocalization
Language:R45 3 3112
jrs95/gassocplot
Regional association plots
Language:R25 2 38
jrs95/gassocplot2
Regional association plots
Language:R25 1 55
jrs95/geni.plots
GENI plots to visualise results from genome-wide association studies
Language:R20 1 31
jrs95/phenoscanner
R package to query the PhenoScanner database of human genotype-phenotype associations
Language:R4 1 00
jrs95/lmrse
Linear regression with clustered robust standard errors
Language:R3 2 00
jrs95/mvshape
Multivariate meta-analysis and fractional polynomial analysis to investigate the shape of exposure-outcome relationships
Language:R3 1 00
jrs95/jlst
Joint mean and variance tests
Language:R2 1 01
jrs95/sclerostin_pqtl_mr
Language:R2 1 00
jrs95/phenoscannerpy
Python 3 tool to query the PhenoScanner database of human genotype-phenotype associations from a terminal
Language:Python1 1 00