Pinned Repositories
gnomeR
Package to wrangle and visualize genomic data in R
gtsummary-presentation-rladies
Slides for my RLadies NYC Presentation
jgl-tutorial
Tutorial for using joint graphical lasso in R
lasso-tutorial
some helpful code for lasso analysis and visualization
nebula
R package implementing Network-based non-parametric Bayes algorithm for subtype analysis
PolygenicPTSD
Package for PGC-PTSD working group analysis pipeline to examine interaction between polygenic risk score and PTSD in predicting hypertension outcomes
riskybiz
Handy competing risks wrapper
spikeyglass
Package implementing Bayesian Spike-and-Slab Joint Graphical Lasso
ssjgl-tutorial
Tutorial for using Bayesian joint spike-and-slab graphical lasso in R
nebula
Network-based latent-Dirichlet subtype analysis
mljaniczek's Repositories
mljaniczek/jgl-tutorial
Tutorial for using joint graphical lasso in R
mljaniczek/lasso-tutorial
some helpful code for lasso analysis and visualization
mljaniczek/nebula
R package implementing Network-based non-parametric Bayes algorithm for subtype analysis
mljaniczek/spikeyglass
Package implementing Bayesian Spike-and-Slab Joint Graphical Lasso
mljaniczek/ssjgl-tutorial
Tutorial for using Bayesian joint spike-and-slab graphical lasso in R
mljaniczek/ASAShortCourse-MultiOmics
Short Course on Multi-Omics
mljaniczek/ClusteredNonsense
Project to analyze somatic nonsense mutations across multiple cancer types
mljaniczek/comets-diffnet-prez
Landscape of differential network analysis methods and software
mljaniczek/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
mljaniczek/densityFinder
Package to implement algorithm to detect nonsense mutation enrichment patterns
mljaniczek/diff_net_python
Scripts to perform differential network analysis in python
mljaniczek/education.rstudio.com
mljaniczek/fall_data_challenge_2022_help
Some scripts to help students work with data from fall data challenge 2022!
mljaniczek/hierarchical-simulation
Simulation study for multi-level hierarchical data predicting a binary outcome using Frequentist & Bayesian models
mljaniczek/inference-intuition
Collection of notes and simulations to better understand statistical inference
mljaniczek/mljaniczek.github.io
Margaret Janiczek's Website
mljaniczek/nonsensedense
What the Package Does (One Line, Title Case)
mljaniczek/raji-lab.github.io
mljaniczek/repro-resource
A compilation of resources for reproducible research in R! (Ongoing, open to pull requests for suggestions)
mljaniczek/rootahdah
cozy robots
mljaniczek/seminar_sandbox
A place to play with code ~~~
mljaniczek/snf_explore
mljaniczek/statgen24_hpgp
Project analyzing associations of SNPs with Astigmatism in the HPGP dataset
mljaniczek/survSuperLearner
Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.
mljaniczek/testing
mljaniczek/tisk
Things I Should Know!
mljaniczek/ukbcvd
scripts to get ukbcvd data
mljaniczek/umass-xaringan
mljaniczek/Zi-LN
mljaniczek/ziln