Pinned Repositories
bicycle
Bicycle: Intervention-Based Causal Discovery with Cycles
deepcpg
Deep neural networks for predicting CpG methylation
deeprvat
limix
We have moved to https://github.com/limix/limix.
limix-backup
MuDataSeurat
.h5mu files interface for Seurat
peer
A factor analysis package
pycoMeth
DNA methylation analysis downstream to Nanopolish for Oxford Nanopore DNA sequencing datasets
pygp
A Gaussian process toolbox in python
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.
Probabilistic Models in Biology's Repositories
PMBio/peer
A factor analysis package
PMBio/limix-backup
PMBio/pygp
A Gaussian process toolbox in python
PMBio/deepcpg
Deep neural networks for predicting CpG methylation
PMBio/limix
We have moved to https://github.com/limix/limix.
PMBio/warpedLMM
PMBio/cyclone
cyclone
PMBio/scMT-seq
PMBio/scNMT-seq
single-cell Nucleosome Methylation Transcription
PMBio/limix-tutorials
Limix tutorials and demos
PMBio/mtSet
mtSet is an implementation of efficient set test algorithms for joint analysis across multiple traits. mtSet can account for confounding factors such as relatedness and can be used for analysis of single traits.
PMBio/pygp_kronsum
PMBio/gptwosample
GPtwosample
PMBio/Rslalom
slalom - an R package implementing a factorial single cell latent variable model
PMBio/GNetLMM
PMBio/sparseFA
Efficient sparse factor analysis models using approximate infernece
PMBio/gwatools
gwatools
PMBio/scLVM-tutorials
PMBio/stepwise-elnet
Code to perform step wise elastic net analysis
PMBio/envGPLVM
PANAMA and LIMMI models
PMBio/limix-feedstock
A conda-smithy repository for limix.
PMBio/scLVM-correspondence
NBT correspondence on scLVM
PMBio/sqtl
Tools and models for QTL mapping using allele count data from selection experiments on large segregant populations.
PMBio/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks