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docs: fix broken refs (#768)
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Co-authored-by: Szymon Szyszkowski <[email protected]>
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d0choa and project-defiant authored Sep 20, 2024
1 parent 785dad0 commit 018defa
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2 changes: 1 addition & 1 deletion src/gentropy/dataset/summary_statistics.py
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Expand Up @@ -91,7 +91,7 @@ def locus_breaker_clumping(
) -> StudyLocus:
"""Generate study-locus from summary statistics using locus-breaker clumping method with locus boundaries.
For more info, see [`locus_breaker`][gentropy.method.locus_breaker_clumping.locus_breaker]
For more info, see [`locus_breaker`][gentropy.method.locus_breaker_clumping.LocusBreakerClumping]
Args:
baseline_pvalue_cutoff (float, optional): Baseline significance we consider for the locus.
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2 changes: 1 addition & 1 deletion src/gentropy/method/sumstat_imputation.py
Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@ def raiss_model(
Args:
z_scores_known (np.ndarray): the vector of known Z scores
ld_matrix_known (np.ndarray) : the matrix of known LD correlations
ld_matrix_known_missing (np.ndarray): LD matrix of known SNPs with other unknown SNPs in large matrix (similar to ld[unknowns, :][:,known])
ld_matrix_known_missing (np.ndarray): LD matrix of known SNPs with other unknown SNPs in large matrix (similar to `ld[unknowns, :][:,known]`)
lamb (float): size of the small value added to the diagonal of the covariance matrix before inversion. Defaults to 0.01.
rtol (float): threshold to filter eigenvectos by its eigenvalue. It makes an inversion biased but much more numerically robust. Default to 0.01.
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