TypeDB Bio: Biomedical Knowledge Graph
- bioinformatics
- knowledge-graph
- knowledge-base
- drug-discovery
76,855 visible repositories in the index
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TypeDB Bio: Biomedical Knowledge Graph
BulkFormer: A large-scale foundation model for human bulk transcriptomes
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Run scripts, explore your genome, and get personalized explanations — all in natural dialogue.
The repository host gives no description.
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
The repository host gives no description.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
MCP server for spatial transcriptomics analysis through natural language interfaces.
The repository host gives no description.
Multigrate: multiomic data integration for single-cell genomics
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
3D shape analysis using deep learning
A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
Single-cell fluorescence microscopy data analysis
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation"