Joseph Lee's repositories
stellargraph
StellarGraph - Machine Learning on Graphs
neural-processes
PyTorch implementation of latent neural processes.
seurat-wrappers
Community-provided extensions to Seurat
banksy-zenodo
Scripts to reproduce BANKSY analyses.
MUSE
MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states for spatially resolved transcriptomics data.
RCAv2
R package for robust clustering of single cell RNA sequencing data
mahotas
Computer Vision in Python
BayesSpace
Bayesian model for clustering and enhancing the resolution of spatial gene expression experiments.
icp
A Python implementation of the Iterative Closest Point algorithm
escnn
Equivariant Steerable CNNs Library for Pytorch
awesome_spatial_omics
tools and notes for spatial omics
FICT-SAMPLE
Depository for the sample code using FICT
daiso
Degradation-aware isoform quantification
rigraph
igraph R package
LaTeX-Templates
Commented templates for CVs, homework, lecture notes, presentations, research papers, and essays, with commands for math/statistics symbols
schelpers
Helper functions for single cell analyses
bambu
Reference-guided transcript discovery and quantification for long read RNA-Seq data
trackViewer
A bioconductor package with minimalist design for drawing elegant tracks or lollipop plot
proActiv
Estimation of Promoter Activity from RNA-Seq data
pcurvepy
Principal curves implementation (Hastie '89) in Python