mims-harvard / PINNACLELinks
Contextual AI models for single-cell protein biology
☆88Updated 7 months ago
Alternatives and similar repositories for PINNACLE
Users that are interested in PINNACLE are comparing it to the libraries listed below
Sorting:
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆123Updated 7 months ago
- ☆31Updated 8 months ago
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆60Updated 9 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆46Updated 2 months ago
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆36Updated 2 years ago
- Large language modeling applied to T-cell receptor (TCR) sequences.☆56Updated 3 years ago
- ☆72Updated last year
- A visible neural network model for drug response prediction☆149Updated 2 years ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆27Updated last month
- Images and other data from the JUMP Cell Painting Consortium☆176Updated this week
- Modeling complex perturbations with CellFlow☆85Updated this week
- Paper collection for single cell foundation models☆34Updated last year
- ☆79Updated last month
- A deep generative neural network based approach to impute drug response☆21Updated 4 years ago
- A Python toolkit for setting up benchmarking dataset using biomedical networks☆22Updated last month
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆73Updated 6 months ago
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆291Updated 7 months ago
- Comprehensive suite for evaluating perturbation prediction models☆81Updated last week
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆40Updated last year
- Repository for mRNA Paper and CodonBERT publication.☆134Updated last year
- Single-Cell (Perturbation) Model Library☆73Updated 3 weeks ago
- ☆22Updated 11 months ago
- surrogate quantitative interpretability for deepnets☆24Updated last month
- Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.☆93Updated last year
- AIDO.ModelGenerator is a software stack powering the development of an AI-driven Digital Organism (AIDO) by enabling researchers to adapt…☆94Updated this week
- ☆126Updated 5 months ago
- A model developed for the generation of scRNA-seq data☆71Updated 6 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆109Updated last year
- ProCyon: A multimodal foundation model for protein phenotypes☆40Updated 3 weeks ago
- Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks☆68Updated 2 weeks ago