willtownes
Assistant Professor of Statistics and Data Science
Carnegie Mellon UniversityPittsburgh, PA
Pinned Repositories
glmpca
glmpca-py
generalized principal component analysis (GLM-PCA) implemented in python
mit6882
Course Project for MIT 6.882- Bayesian Modeling
nsf-paper
Nonnegative spatial factorization for multivariate count data
quminorm
Turning the quasi-UMI method into a bioconductor package
quminorm-paper
supporting code for the quasi-UMIs single-cell RNA-seq paper
scrna2019
supporting code for the multinomial single cell RNA-Seq paper
spatial-factorization-py
Probabilistic factor models for spatially correlated data. Includes nonnegative and real-valued versions.
vamf-paper
supporting code for the Varying-Censoring Aware Matrix Factorization paper
willtownes's Repositories
willtownes/glmpca
willtownes/glmpca-py
generalized principal component analysis (GLM-PCA) implemented in python
willtownes/nsf-paper
Nonnegative spatial factorization for multivariate count data
willtownes/scrna2019
supporting code for the multinomial single cell RNA-Seq paper
willtownes/spatial-factorization-py
Probabilistic factor models for spatially correlated data. Includes nonnegative and real-valued versions.
willtownes/quminorm
Turning the quasi-UMI method into a bioconductor package
willtownes/quminorm-paper
supporting code for the quasi-UMIs single-cell RNA-seq paper
willtownes/mit6882
Course Project for MIT 6.882- Bayesian Modeling
willtownes/vamf-paper
supporting code for the Varying-Censoring Aware Matrix Factorization paper
willtownes/vamf
Varying-Censoring Aware Matrix Factorization R package
willtownes/edward
Sandbox for experimenting with the Edward probabilistic modeling framework in python.
willtownes/optimization-practice
sandbox for practice implementing optimization algorithms
willtownes/patel2014gliohuman
A Bioconductor "Summarized Experiment" from the Patel et al. (2014) paper that performed single cell RNA-Seq analysis on human glioblastoma tissue.
willtownes/python
Miscellaneous Python stuff I am working on
willtownes/stan
practicing with stan
willtownes/cthw
Learning C "the hard way" http://c.learncodethehardway.org/book/
willtownes/data-repository
CMU Statistics & Data Science educational data repository
willtownes/epidatr
[DRAFT] Delphi Epidata API R Client
willtownes/gp
Gaussian Processes and Bayesian Optimization
willtownes/haskell
sandbox for learning Haskell
willtownes/hca-jamboree-how-many-cells
willtownes/longevity-paper
Supporting code for the paper "Identifying Longevity Associated Genes by Integrating Gene Expression and Curated Annotations"
willtownes/marsh
salamander ecology
willtownes/naivebayes
High performance implementation of the Naive Bayes algorithm in R
willtownes/ped_parser
A python tool for parsing pedigree files
willtownes/scLVM
scLVM is a modelling framework for single-cell RNA-seq data that can be used to dissect the observed heterogeneity into different sources, thereby allowing for the correction of confounding sources of variation.
willtownes/tensorflow
sandbox for practice with tensorflow models
willtownes/Web
Learning how to do web stuff like javascript
willtownes/willtownes.github.io
academic/ research website
willtownes/ZIFA
Zero-inflated dimensionality reduction algorithm for single-cell data