fmorgante

fmorgante's Stars

• YinLiLin/CMplot

  📊 Circular and Rectangular Manhattan Plot

  Language:R51115129112

• privefl/bigsnpr

  R package for the analysis of massive SNP arrays.

  Language:R185847644

• stephenslab/susieR

  R package for "sum of single effects" regression.

  Language:R1741320644

• Cloufield/gwaslab

  A Python package for handling and visualizing GWAS summary statistics. https://cloufield.github.io/gwaslab/

  Language:Python14639825

• MRCIEU/gwasglue

  Linking GWAS data to analytical tools in R

  Language:R110133539

• stephenslab/mashr

  An R package for multivariate adaptive shrinkage.

  Language:R871410019

• neurogenomics/MungeSumstats

  Rapid standardisation and quality control of GWAS or QTL summary statistics

  Language:R710015

• MRCIEU/gwasvcf

  Reading, querying and writing GWAS summary data in VCF format

  Language:HTML66102417

• YinLiLin/hibayes

  :swimmer: Individual-Level, Summary-Level and Single-Step Bayesian Regression Models for Genomic Prediction and Genome-Wide Association Studies

  Language:C++465197

• gabraham/plink2R

  Read PLINK BED/BIM/FAM files into R

  Language:C++394832

• psoerensen/qgg

  Statistical tools for Quantitative Genetic Analyses

  Language:R346167

• cumc/bioworkflows

  In-house computational biology workflows at Columbia Neurology

  Language:Jupyter Notebook305943

• stephenslab/gtexresults

  Code and data resources accompanying Urbut et al (2017), "Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions."

  Language:Jupyter Notebook2272311

• stephenslab/mvsusieR

  A new model and algorithm for multivariate Bayesian variable selection regression.

  Language:Jupyter Notebook2110456

• stephenslab/mr.ash.alpha

  An R package implementing Mr.ASH method

  Language:R947

• amalgamaria/secretariat

  Clemson CHG Research Computing

  4

• stephenslab/mr.ash

  R package implementing methods for multiple regression with adaptive shrinkage priors ("mr.ash").

  Language:R4510

• stephenslab/mr.mash.alpha

  R package implementing methods for multivariate multiple regression with adaptive shrinkage priors.

  Language:R4622

• aksarkar/mtlasso

  Language:Python1