Software

The softwares developed by my lab are listed as follows:

• TransferTWAS: TransferTWAS: A transfer learning framework for cross-tissue transcriptome-wide association study [paper]

• MAAT: MAAT: a new nonparametric Bayesian framework for incorporating multiple functional annotations in transcriptome-wide association studies [paper]

• TWAS.GKF: TWAS-GKF: a novel method for causal gene identification in transcriptome-wide association studies with knockoff inference [paper]

• g-ldsc: Improved estimation of functional enrichment in SNP heritability using feasible generalized least squares [paper]

• h2D2: A Bayesian fine-mapping model using a continuous global-local shrinkage prior h2D2 [paper]

• GR2D2: The GR2D2 estimator for the precision matrices [paper]

• TLMulti: Multiethnic polygenic risk prediction in diverse populations through transfer learning [paper]

• GENESIS: GENetic Effect-Size distribution Inference from Summary-level data. [paper]

• CancerEffectSize: Assessment of polygenic architecture and risk prediction based on common variants for cancers. [paper]

• R2D2: Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior [paper]