Changelog
2025¶
1) Introducing Scatter and Forest Plots ro visualize your EMIC analysis results more effectively. 2) Fixed bugs to ensure reliable processing of multiple GWAS summary inputs. 3) Added a function to fit age-specific gene expression, enabling temporal inference into the dynamics of complex genetic diseases.
Improve the robustness of task tracking and gene-based ESC functions.
Allow the Feather format for --gene-score-file option to speed up the analysis.
Allow gene-based association analysis of non-human GWAS when a gene model is specified by a customized --gene-model-database.
Add LD clumping with data harmonization in the Annotation module.
Improve algorithms of LD blocking and clumping.
Develop scalable algorithms to prioritize cell types in large-scale datasets containing thousands of cell types or expression profiles.
Generate a summary table for PCMR analysis.
Update some download links of KGGSum for resource data.
Optimize some internal data flows to speed up analysis and reduce memory usage.
Release the first formal version of KGGSum.