Genentech / iterative-perturb-seqLinks
Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors
☆42Updated last year
Alternatives and similar repositories for iterative-perturb-seq
Users that are interested in iterative-perturb-seq are comparing it to the libraries listed below
Sorting:
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 4 years ago
- Biological Network Integration using Convolutions☆63Updated last year
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆138Updated 11 months ago
- ☆19Updated 2 years ago
- ☆76Updated this week
- Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks☆106Updated 3 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆127Updated last year
- ☆70Updated this week
- Contextual AI models for single-cell protein biology☆96Updated 11 months ago
- A Python toolkit for setting up benchmarking dataset using biomedical networks☆22Updated last month
- Large language modeling applied to T-cell receptor (TCR) sequences.☆57Updated 3 years ago
- Orthrus is a mature RNA model for RNA property prediction. It uses a mamba encoder backbone, a variant of state-space models specifical…☆85Updated last month
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆59Updated this week
- A repository for reproducing experiments from the TxPert paper☆24Updated last week
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆36Updated 2 years ago
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆77Updated 10 months ago
- Computational Optimization of DNA Activity (CODA)☆67Updated 9 months ago
- repository containing analysis scripts and auxiliary files☆36Updated 5 years ago
- surrogate quantitative interpretability for deepnets☆24Updated 5 months ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆33Updated 5 months ago
- ☆68Updated 5 months ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- ☆64Updated 2 years ago
- Comprehensive suite for evaluating perturbation prediction models☆116Updated 3 weeks ago
- Repository for mRNA Paper and CodonBERT publication.☆140Updated last year
- Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…☆66Updated 3 years ago
- Knowledge-primed neural networks☆38Updated 2 years ago
- Diffusion model for gene regulatory network inference.☆24Updated 5 months ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆52Updated 5 months ago
- Ledidi turns any machine learning model into a biological sequence editor, allowing you to design sequences with desired properties.☆98Updated 7 months ago