WANGyujian123

WANGyujian123's Stars

• danjweiner/AMM21

  Command-line tool to run Abstract Mediation Model (Weiner et al 2022, AJHG)

  Language:Python53

• ajaynadig/bhr

  Suite of heritability and genetic correlation estimation tools for exome-sequencing data

  Language:HTML316

• choishingwan/PRSice

  A software package for calculating, applying, evaluating and plotting the results of polygenic risk scores

  Language:C18790

• Mikoto10032/AutomaticWeightedLoss

  Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

  Language:Python58683

• FINNGEN/saige-pipelines

  Language:WDL166

• saigegit/SAIGE

  Development for SAIGE and SAIGE-GENE(+)

  Language:C++6929

• weizhouUMICH/SAIGE

  Language:R19273

• xihaoli/STAAR

  An R package for performing STAAR procedure in whole-genome sequencing studies

  Language:C++9142

• neurogenomics/MAGMA_Celltyping

  Find causal cell-types underlying complex trait genetics

  Language:R7231

• aertslab/scenicplus

  SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.

  Language:Jupyter Notebook18931

• jianyangqt/gcta

  GCTA software

  Language:C++8726

• morris-lab/CellOracle

  This is the alpha version of the CellOracle package

  Language:Python31556

• jbryois/LDSC_nf

  partitioned LDSC pipeline with nextflow

  Language:Nextflow31

• NathanSkene/EWCE

  Expression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.

  Language:R5425

• jbryois/scRNA_disease

  Code for our paper: https://www.biorxiv.org/content/10.1101/528463v1

  Language:HTML1716

• bulik/ldsc

  LD Score Regression (LDSC)

  Language:Python652345

• aertslab/pySCENIC

  pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

  Language:Python447183

• aertslab/SCENIC

  SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.

  Language:HTML42195

• csbg/pnet_robustness

  Reliable interpretability of biology-inspired deep neural networks

  Language:R3

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23k3.3k

• marcoancona/DeepExplain

  A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

  Language:Python734133

• epigen/KPNN

  Knowledge-primed neural networks

  Language:Python348

• gao-lab/GLUE

  Graph-linked unified embedding for single-cell multi-omics data integration

  Language:Python38557

• sunyolo/DeepTFni

  A VGAE-based model to infer transcription factor regulatory network

  Language:Python244

• rounakdey/FastSparseGRM

  Efficiently calculate ancestry-adjusted sparse GRM

  Language:R31

• li-lab-genetics/favorannotator-rap

  An app for automatically functionally annotating the variants of whole-genome/whole-exome sequencing (WGS/WES) studies and integrating the functional annotations with the genotype data using FAVORannotator in UK Biobank RAP

  Language:R3

• xihaoli/STAARpipelineSummary

  An R package for summarizing and visualizing association analysis results of whole-genome/whole-exome sequencing (WGS/WES) studies generated by STAARpipeline

  Language:R95

• xihaoli/STAARpipeline-Tutorial

  The tutorial for performing single-/multi-trait association analysis of whole-genome/whole-exome sequencing (WGS/WES) studies using FAVORannotator, STAARpipeline and STAARpipelineSummary

  Language:R2617

• li-lab-genetics/staarpipelinesummary_indvar-rap

  An app for summarizing association analysis results of whole-genome/whole-exome sequencing (WGS/WES) studies in UK Biobank RAP

  Language:R21

• li-lab-genetics/staarpipelinesummary_varset-rap

  An app for summarizing association analysis results of whole-genome/whole-exome sequencing (WGS/WES) studies in UK Biobank RAP

  Language:R21