snap-stanford / KGWAS
KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph
☆65Updated last month
Alternatives and similar repositories for KGWAS:
Users that are interested in KGWAS are comparing it to the libraries listed below
- ☆89Updated last month
- Functional Embedding of Gene Signatures☆43Updated last year
- ☆62Updated last year
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆46Updated 4 months ago
- Knowledge-primed neural networks☆36Updated 2 years ago
- Integrate Any Omics: Towards genome-wide data integration for patient stratification☆50Updated last month
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆68Updated 3 months ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated 3 months ago
- repository containing analysis scripts and auxiliary files☆34Updated 5 years ago
- Computational Optimization of DNA Activity (CODA)☆56Updated last month
- ☆36Updated 9 months ago
- ☆62Updated 8 months ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆124Updated 2 months ago
- Utilizing single-cell omics from patients tumor to predict response and resistance.☆64Updated 2 years ago
- Code for evaluating single cell foundation models scBERT and scGPT☆43Updated 8 months ago
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.☆57Updated 11 months ago
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆80Updated 2 years ago
- Contextual AI models for single-cell protein biology☆85Updated 2 months ago
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆40Updated 11 months ago
- What you need to process the Quarterly DepMap-Omics releases from Terra☆115Updated this week
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆99Updated 8 months ago
- Models and datasets for perturbational single-cell omics☆154Updated 2 years ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆66Updated 2 years ago
- Single-Cell (Perturbation) Model Library☆54Updated last month
- ☆21Updated 2 weeks ago
- CpGPT: a Foundation Model for DNA Methylation.☆36Updated this week
- Code space for 'Evaluation of large language models for discovery of gene set function'☆36Updated 4 months ago
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆25Updated 2 years ago
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆35Updated last year