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Probabilistic Models in Biology

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Repositories

cyclone: cyclone
deepcpg: Deep neural networks for predicting CpG methylation
envGPLVM: PANAMA and LIMMI models
GNetLMM: null
gptwosample: GPtwosample
gwatools: gwatools
limix: We have moved to https://github.com/limix/limix.
limix-backup: null
limix-feedstock: A conda-smithy repository for limix.
limix-tutorials: Limix tutorials and demos
MOFA: Multi-Omics Factor Analysis
MOFA: Multi-Omics Factor Analysis
MOFA_CLL: Scripts to analyse CLL data in MOFA paper
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.
peer: A factor analysis package
pygp: A Gaussian process toolbox in python
pygp_kronsum: null
Rslalom: slalom - an R package implementing a factorial single cell latent variable model
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.
scLVM-correspondence: NBT correspondence on scLVM
scLVM-tutorials: null
scMT-seq: null
scNMT-seq: single-cell Nucleosome Methylation Transcription
sparseFA: Efficient sparse factor analysis models using approximate infernece
sqtl: Tools and models for QTL mapping using allele count data from selection experiments on large segregant populations.
staged-recipes: A place to submit conda recipes before they become fully fledged conda-forge feedstocks
warpedLMM: null

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.