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A Library for Dynamic Graph Learning (NeurIPS 2023)
Pipelines for ensuring the quality of HCA integrated atlases
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…
Additional code and analysis from the single-cell integration benchmarking project
Accelerated, Python-only, single-cell integration benchmarking metrics
A tool for detecting somatic variants in single cell data
Collections of library structure and sequence of popular single cell genomic methods
Graph Machine Learning course, Xavier Bresson, 2023
Meditron is a suite of open-source medical Large Language Models (LLMs).
Solving the Traveling Salesman Problem using Self-Organizing Maps
Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
MGnify genome analysis pipeline
UCE is a zero-shot foundation model for single-cell gene expression data
A bioinformatic toolkit to align genome assemblies into pangenome graphs
https://www.sc-best-practices.org
Paper collection for single cell foundation models
Benchmarks for Graph Machine Learning in Brain Connectomics
WtP: Phage identification via nextflow and docker or singularity
A book about category theory
Build a partitioned pangenome graph from microbial genomes