snap-stanford / KGWASLinks
KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph
☆77Updated 10 months ago
Alternatives and similar repositories for KGWAS
Users that are interested in KGWAS are comparing it to the libraries listed below
Sorting:
- ☆100Updated 3 months ago
- ☆134Updated 9 months ago
- ☆98Updated 2 months ago
- ☆68Updated 5 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆59Updated this week
- ☆76Updated this week
- Knowledge-primed neural networks☆38Updated 2 years ago
- Computational Optimization of DNA Activity (CODA)☆67Updated 9 months ago
- Functional Embedding of Gene Signatures☆48Updated last year
- Comprehensive suite for evaluating perturbation prediction models☆116Updated 3 weeks ago
- ☆90Updated 4 months ago
- CMap Notebooks for LINCS 2020 Workshop☆49Updated 4 years ago
- ☆28Updated 11 months ago
- repository containing analysis scripts and auxiliary files☆36Updated 5 years ago
- 🏃 The go-to single-cell Foundation Model☆128Updated 3 weeks ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆73Updated 3 years ago
- Diffusion model for gene regulatory network inference.☆24Updated 5 months ago
- ☆30Updated 2 weeks ago
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.☆61Updated last year
- CellWhisperer bridges the gap between transcriptomics data and natural language, enabling intuitive interaction with scRNA-seq datasets☆178Updated last month
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆127Updated last year
- ☆70Updated last week
- Contextual AI models for single-cell protein biology☆96Updated 11 months ago
- SIMBA: SIngle-cell eMBedding Along with features☆66Updated last year
- ☆16Updated 7 months ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆52Updated 5 months ago
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆88Updated 3 years ago
- Utilizing single-cell omics from patients tumor to predict response and resistance.☆71Updated 2 years ago
- What you need to process the Quarterly DepMap-Omics releases from Terra☆125Updated 3 months ago
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆72Updated last year