Repository Index

Open source code for AlphaFold 2.

AlphaFold 3 inference pipeline.

Deep probabilistic analysis of single-cell and spatial omics data

• scrna-seq
• variational-bayes
• variational-autoencoder
• cite-seq

The repository host gives no description.

• foundation-model
• gpt
• single-cell

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

Python package for graph neural networks in chemistry and biology

• deep-learning
• graph-neural-networks
• dgl
• cheminformatics

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

• deep-learning
• protein-sequences
• protein-structure
• semi-supervised-learning

Fast, sensitive and accurate integration of single-cell data with Harmony

• scrna-seq
• algorithm
• data-integration
• r

Spatial Single Cell Analysis in Python

• single-cell-rna-seq
• single-cell-genomics
• spatial-transcriptomics
• spatial-analysis

R package for detecting doublets in single-cell RNA sequencing data

A tool for semi-automatic cell type classification

• python
• single-cell
• machine-learning
• scrna-seq

SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.

Graph-linked unified embedding for single-cell multi-omics data integration

• bioinformatics
• deep-learning
• single-cell
• single-cell-multiomics

Reference mapping for single-cell genomics

• single-cell
• deep-learning
• rna-seq-analysis
• data-integration

Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star

• dna
• language-model
• variant-effect-prediction
• genomics

UCE is a zero-shot foundation model for single-cell gene expression data

Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk

• bioinformatics
• exact-optimization
• metabolomics
• paired-data

Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome

• cancer-genomics
• cnv-detection
• single-cell
• phylogeny

scPerturb: A resource and a python/R tool for single-cell perturbation data

• cite-seq
• database
• perturbation
• scatac-seq

Repository for Nicheformer: a foundation model for single-cell and spatial omics

🏃 The go-to single-cell Foundation Model

• batch-correction
• cell-biology
• celltype-annotation
• denoising

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

• disentanglement
• drug-discovery
• genomics
• perturbation

Learning cell communication from spatial graphs of cells

• tensorflow
• gnn
• glm
• cvae

CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework

• ai4science
• llm
• multiagent-systems
• prompt-engineering