☆20May 23, 2025Updated last year
Alternatives and similar repositories for STAMP
Users that are interested in STAMP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆19Oct 10, 2026Updated 3 weeks ago
- The most comprehensive database designed for the analysis and visualization of single cell perturbation data☆11Feb 6, 2025Updated last year
- ☆13May 11, 2024Updated 2 years ago
- ☆32Oct 14, 2024Updated 2 years ago
- A deep model infers gene regulation networks from scRNA-seq data.☆13Sep 3, 2026Updated last month
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆12Jan 12, 2024Updated 2 years ago
- ☆12Oct 28, 2025Updated last year
- ☆17Dec 18, 2024Updated last year
- Single-cell perturbation effects prediction benchmark☆107Oct 22, 2026Updated last week
- LoRA finetuned LLM for single cell genomics research☆33Jun 30, 2026Updated 4 months ago
- a simple R data package for curated cancer pathway-specific gene lists☆14Mar 31, 2020Updated 6 years ago
- ☆12Aug 19, 2025Updated last year
- ☆15Jun 27, 2025Updated last year
- code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions☆17Nov 27, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆13Jun 9, 2025Updated last year
- ☆20May 29, 2026Updated 5 months ago
- ☆26Jun 14, 2025Updated last year
- GenePert: Leveraging GenePT Embeddings for Gene Perturbation Prediction☆24Oct 29, 2024Updated 2 years ago
- ☆101Aug 10, 2026Updated 2 months ago
- ☆15Oct 15, 2026Updated 2 weeks ago
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)☆18Jun 15, 2025Updated last year
- ☆11Jul 8, 2024Updated 2 years ago
- An end-to-end computational pipeline for large Perturb-seq screens☆16Jul 27, 2026Updated 3 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Network analyses of single cell-based digital twins for personalized treatment of inflammatory disease☆17Mar 23, 2024Updated 2 years ago
- REKINDLE is a python package for training the generative adversarial networks (GANs) to parametrize large-scale nonlinear kinetic models …☆10Oct 11, 2022Updated 4 years ago
- R implementation of integration metrics for single-cell data☆14Sep 23, 2026Updated last month
- ☆46Feb 23, 2025Updated last year
- catELMo: Context-Aware Amino Acid Embedding Advances Analysis of TCR-Epitope Interactions☆15Apr 10, 2025Updated last year
- ☆44May 26, 2026Updated 5 months ago
- VCWorld: A Biological World Model for Virtual Cell Simulation☆74May 29, 2026Updated 5 months ago
- BioDiscoveryAgent is an LLM-based AI agent for closed-loop design of genetic perturbation experiments☆132Jul 6, 2025Updated last year
- ☆72Jul 21, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Robust identification of perturbed cell types in single-cell RNA-seq data☆44Nov 10, 2025Updated 11 months ago
- Comprehensive suite for evaluating perturbation prediction models☆166Jul 27, 2026Updated 3 months ago
- Single-Cell (Perturbation) Model Library☆130Jul 27, 2026Updated 3 months ago
- Gene perturbation prediction using LLM embeddings☆17Sep 16, 2026Updated last month
- An R package for single-cell CRISPR screen data analysis emphasizing statistical rigor, massive scalability, and ease of use.☆42Updated this week
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆69Jan 12, 2026Updated 9 months ago
- Variational autoencoder for single-cell integration and transfer learning.☆12Jul 23, 2026Updated 3 months ago