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Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A continually expanding collection of RNA-seq tools
Turn your data frame into a tableau style drag and drop UI interface to build visualization in R.
R/Bioconductor package for working with 10x scATACseq data
Co-accessibility network from ATAC-seq data. Python code, based on Cicero package (R).
Time series forecasting with PyTorch
A method for analyzing scATAC-seq experiments.
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
An open-source framework for self-supervised recommender systems.
Unified access to several second-generation deconvolution methods
A curated list of papers on large-scale graph learning.
BENchmark inteGrAtion strategies for cross-species anaLysis of single cell RNA sequencing data
Functions to Create Publication-Quality Plots
Bulk (CP/GZ) and single-cell Iso-Seq in the developing human brain
A list of interesting genome browser or genome-browser-like implementations
[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications
PhyloVelo, Phylogeny-based transcriptomic velocity of single cells
A tool for analyzing trascriptomes of millions of single cells.
Tips for Writing a Research Paper using LaTeX
Tutorial for scRNA-seq data analysis beginners using R
Tutorial of single-cell RNA-ATAC multiomic sequencing data analysis