js134711's Stars
alfonsosaera/myManhattan
R function to generate Manhattan plots using ggplot
stephenslab/finemap
Demos of SuSiE and FINEMAP.
filiaultd/haplotype.plots
Generate haplotype plots for candidate gene regions using fastPHASE
ilarsf/gwasTools
Basic and fast GWAS functions for QQ and Manhattan plots (incl. gene names)
shbrainard/linkage-disequilibrium
R functions to visualize r2 values
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
chendaniely/pandas_for_everyone
Repository to accompany "Pandas for Everyone"
plotrix/plotrix
Lots of plots, various labeling, axis and color scaling functions.
balban/Books
NVIDIA-Genomics-Research/GEPSi
GEPSi simulates phenotypes for GWAS data based on a range of conditions and biological assumptions.
epigen/dea_limma
A Snakemake workflow and MrBiomics module for performing and visualizing differential (expression) analyses (DEA) on NGS data powered by the R package limma.
stop-pre16/mcmseq
mcmseq
ccs-amsterdam/r-course-material
A collection of R tutorials
drjingma/NetGSAreview
A comparative study of network-based pathway enrichment analysis methods
douglasadamoski/TNBC-Targeting
Guanylate-binding protein-1 is a potential new therapeutic target for triple negative breast cancer
avehtari/BDA_R_demos
Bayesian Data Analysis demos for R
hally166/R_flowcytometry_course
The files and presentation from the Cytometry Core Facility flow cytometry data analysis course in R
genomicsclass/labs
Rmd source files for the HarvardX series PH525x
briatte/awesome-network-analysis
A curated list of awesome network analysis resources.
briatte/dsr
Introduction to Data Science with R (Sciences Po, Paris, 2023)
tohweizhong/pdf-dump
A dump of all the data science materials (mostly pdf's) that I have accumulated over the years
LukeMoraglia/ISLR_datasets
Datasets included with the ISLR2 R package
keithlohse/mixed_effects_models
Resources for creating mixed-effects models as analogues for ANOVA and for truly longitudinal models.
proback/BeyondMLR
Repo for January 2021 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The rendered version can be found at: https://bookdown.org/roback/bookdown-BeyondMLR/
ourcodingclub/CC-MCMCglmm-MA
Resources needed to complete the MCMCglmm for meta-analysis tutorial