alexw16 / gridnetLinks
☆15Updated 5 months ago
Alternatives and similar repositories for gridnet
Users that are interested in gridnet are comparing it to the libraries listed below
Sorting:
- ☆18Updated 4 years ago
- ☆87Updated 2 years ago
- ☆25Updated last year
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆35Updated 3 years ago
- Modeling complex perturbations with CellFlow☆104Updated last week
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆58Updated 5 months ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- Deep joint-leaning single-cell multi-omics model☆15Updated 3 years ago
- Single-cell biological network inference using a heterogeneous graph transformer☆76Updated 10 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆124Updated last year
- Models and datasets for perturbational single-cell omics☆171Updated 3 years ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆153Updated last year
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆33Updated 5 months ago
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)☆19Updated 6 months ago
- a unified single-cell data integration framework by optimal transport☆34Updated last year
- scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models☆32Updated last year
- ☆67Updated 5 months ago
- Implementation of Phenotype prediction from single-cell RNA-seq data using attention-based neural networks (Bioinformatics 2024).☆13Updated last year
- ☆63Updated 2 years ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆135Updated 10 months ago
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆16Updated last year
- Paper collection for single cell foundation models☆35Updated last year
- A model developed for the generation of scRNA-seq data☆81Updated 10 months ago
- Cell clustering for spatial transcriptomics data with graph neural network☆64Updated 2 years ago
- ☆88Updated last year
- Single-Cell (Perturbation) Model Library☆86Updated 2 weeks ago
- Functional and Learnable Cell dynamicS☆19Updated 7 months ago
- Hypergraph Factorisation☆26Updated last year
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 4 years ago
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics (STAGATE software based on pyG framewo…☆62Updated 2 years ago