Releases: xinhe-lab/ctwas
Releases · xinhe-lab/ctwas
multi-group cTWAS v0.5.34
- Created post-processing functions to automate post-processing steps for region merging and LD mismatch analysis.
- Created function to get boundary genes using
mapping_table
and function to select boundary genes. - The
ctwas_sumstats()
function andassemble_region_data()
function no longer return boundary genes.
multi-group cTWAS v0.5.22
- Included posterior effect size (
mu
) in the fine-mapping results. - Fixed minor bugs.
multi-group cTWAS v0.5.20
Updates to multi-group cTWAS:
- Updated EM with cTWAS SER model for faster speed.
- Updated EM and finemapping with "ctwas" null model.
- Allowed EM to stop when converged, instead of running all iterations.
- Corrected
group_size
returned from EM. - Estimated s.e. and p-value for enrichment parameter
- Updated region screening with SER model and not estimating L.
- Allowed returning "susie" result object and priors in fine-mapping output.
- Set default
group_prior_var_structure = "shared_all"
. - Set default
thin = 1
. - Set default
filter_cs = FALSE
incombine_gene_pips()
. - Set default LD-mismatch
p_diff_thresh = 5e-6
.
multi-group cTWAS v0.4.21
This version implements multi-group cTWAS method, which jointly models multiple types of molecular traits across different contexts, with updated post-processing functions.
cTWAS v0.1.38
This version implements the original cTWAS method (single group version) as in NG (2024) paper. https://doi.org/10.1038/s41588-023-01648-9