mw201608
I am a statistical and quantitative geneticist at the Icahn School of Medicine at Mount Sinai.
@IcahnInstituteNew York
Pinned Repositories
AD_pan_cortical_transcriptomics
R script for constructing coexpression networks
AD_scRNAseq_companion
advanced-shiny
Shiny tips & tricks for improving your apps and solving common problems
models
Models and examples built with TensorFlow
msigdb
MSigDB gene sets
NetWeaver
NetWeaver: Graphic Presentation of Complex Genomic and Network Data Analysis
sunburst.shiny
A simple web-based interface to create sunburst visualization of a network hierarchy.
SuperExactTest
Statistical testing and visualization of mult-set intersections
mw201608's Repositories
mw201608/SuperExactTest
Statistical testing and visualization of mult-set intersections
mw201608/msigdb
MSigDB gene sets
mw201608/NetWeaver
NetWeaver: Graphic Presentation of Complex Genomic and Network Data Analysis
mw201608/sunburst.shiny
A simple web-based interface to create sunburst visualization of a network hierarchy.
mw201608/AD_scRNAseq_companion
mw201608/BayesianNetwork
mw201608/bizicount
An R package for bivariate, zero-inflated (or non-inflated) count models using copulas.
mw201608/COMBAT
mw201608/cpa
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
mw201608/cyjShiny
An R/shiny widget for cytoscape.js
mw201608/datahub
mw201608/dqshiny
Enhance Shiny Apps with Customizable Modules
mw201608/ggplot_tips
mw201608/GOtest
mw201608/leafcutter
Annotation-free quantification of RNA splicing. Yang I. Li, David A. Knowles, Jack Humphrey, Alvaro N. Barbeira, Scott P. Dickinson, Hae Kyung Im, Jonathan K. Pritchard
mw201608/liftOverPlink
A wrapper for liftOver for converting plink genotype data between different genome reference builds
mw201608/Linear_Algebra_With_Python
Lecture Notes for Linear Algebra Featuring Python
mw201608/Loan-calculator
mw201608/MatrixTools
mw201608/mnml-public
mw201608/ncells
Calculating the number of cells in single cell RNA-seq experiments
mw201608/PD_substantia_nigra
Source code for PD substantia nigra single nucleus RNA-seq data analysis
mw201608/quickhyper
mw201608/rlib
mw201608/scanpy
Single-Cell Analysis in Python. Scales to >1M cells.
mw201608/SCP
SCP provides a comprehensive set of tools for single cell data processing and downstream analysis.
mw201608/Shiny
Advanced Shiny usage cases
mw201608/single_cell_portal_core
Rails/Docker application for the Broad Institute's single cell RNA-seq data portal
mw201608/SuperExactTest.shiny
A shiny application for statistical test and visualization of multi-set intersections.
mw201608/valiDrops