manchesterbioinference Goto Github PK
Name: Manchester Bioinference Group
Type: Organization
Bio: Statistical Inference Methods for Biological Data Analysis
Location: Manchester, UK
Manchester Bioinference Group's Projects
branchedgp
Branching Gaussian process
burstinfer
Using a dynamic memory-adjusted Hidden Markov Model to infer global and single-cell transcriptional parameters
cellpie
cjbitseq_benchmarking
benchmarking experiments for cjBitSeq
detime
R package for two-sample time series analysis using Gaussian process methods
ep_bayes
Bayesian inference of enhancer-promoter links
gp_transcription_dynamics
gpcounts
Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods
gposc
gposc260716
Identifying stochastic oscillations in single cell live imaging time series using Gaussian processes
grandprix
GrandPrix
integratingatac-rna-hic
scripts for the integrating ATAC-seq, RNA-seq and CHi-C paper
motif2site
scaledpoisson
scasat
Scasat is a single cell ATAC-seq preprocessing and analysis pipeline
systems-immunology-cytokine-responses
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