Published May 26, 2026 | Version v1
Software documentation Open

BLISS: source code accompanying Large-scale imputation models for multi-ancestry proteome-wide association analysis

  • 1. ROR icon The University of Texas MD Anderson Cancer Center
  • 2. ROR icon University of Pennsylvania
  • 3. Department of Statistics, Purdue University
  • 4. Department of Statistics and Data Science, University of Pennsylvania

Contributors

Project member:

  • 1. ROR icon University of Pennsylvania

Description

This artifact archives the code used to develop the BLISS PWAS models reported in the manuscript, plus the immediate downstream pipeline (PWAS association testing, Mendelian randomization, colocalization) and the simulation framework that underpins the method-validation results.

Files

code.zip

Files (71.3 kB)

Name Size Download all
md5:e032ffd4a3c65ea8611de1a40569f70b
58.4 kB Preview Download
md5:140614b1481339c7238d431ec76d0015
12.9 kB Preview Download

Additional details

Related works

Is supplement to
Preprint: 10.1101/2023.10.05.561120 (DOI)

Dates

Submitted
2026-05-25

Software

Repository URL
https://github.com/gcb-hub/BLISS
Programming language
R
Development Status
Active