CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
- ai4science
- llm
- multiagent-systems
- prompt-engineering
Repository Index
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Rails frontend to The Genome Institute's drug gene interaction database.
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
This library generates graph layouts using the TikZ graph layout package.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
- computational-biology
- bioinformatics
- graph-convolution
- deep-learning
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
- deep-generative-model
- deep-learning
- single-cell-data-integration
- single-cell-multiomics
Graph data structures with multiple heterogeneous metadata for Graphs.jl.
- graph
- graphs
- metadata
- juliagraphs
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
- foundation-models
- gpt
- single-cell
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
An extensible .NET genetic algorithm library for optimization and artificial intelligence - Evolutionary computation and complex problem solving made simple
- artificial-intelligence
- csharp
- dotnet
- evolutionary-algorithm
Generic, zero-alloc, 100%-test covered Quadtree for golang
- golang-library
- quadtree
- data-structures
- generics
Genetic Algorithm and Particle Swarm Optimization
- genetic-algorithm
- particle-swarm-optimization
- golang
- go
A metaheuristic optimization framework
- optimization
- optimization-algorithms
- optimization-methods
- genetic-algorithm
A Swift Playground visualizing gravity based on Einstein's Theory of General Relativity
Generic 2D grid
- astar-algorithm
- dda-algorithm
- dejkstra
- golang
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
- microscopy
- image-processing
- segmentation
- biology
Quantum randomness source using the ANU hardware QRNG
- random-number-generators
- quantum-mechanics
A collection of general utility and mathematical functions for GameMaker Studio 2 (Version 2.3).
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
- deep-reinforcement-learning
- generative-model
- vae
- molecule-generation
Simple webapp for generating small ligand conformers
- computational-biology
- computational-chemistry
- conformer-generation
- rdkit
Genetic Algorithm Implementation for Ada
- generic
- algorithm
- ada
- library
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.
GNN-based gene-selection deep learning model for drug response prediction