carpenter-singh-lab / 2023_Arevalo_NatComm_BatchCorrectionLinks
Evaluating batch correction methods for image-based cell profiling
☆14Updated 2 weeks ago
Alternatives and similar repositories for 2023_Arevalo_NatComm_BatchCorrection
Users that are interested in 2023_Arevalo_NatComm_BatchCorrection are comparing it to the libraries listed below
Sorting:
- Cell Painting Gallery☆104Updated 3 weeks ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆50Updated 2 weeks ago
- ☆65Updated 6 months ago
- Images and other data from the JUMP Cell Painting Consortium☆174Updated this week
- Predicting assays Using Morphological Analysis☆13Updated last year
- Lists and 384-well plate maps of compounds and genetic perturbations designed to assess connectivity in profiling assays☆22Updated 7 months ago
- ☆48Updated last month
- ☆15Updated 7 months ago
- Processed Cell Painting Data for the LINCS Drug Repurposing Project☆28Updated 3 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆44Updated last month
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆56Updated 8 months ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 4 years ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆123Updated 6 months ago
- ☆36Updated this week
- A Deep Learning based Efficacy Prediction System for drug discovery☆70Updated 2 years ago
- BulkFormer: A large-scale foundation model for human bulk transcriptomes☆19Updated last month
- ☆53Updated 8 months ago
- A deep-learning framework for multi-omics integration☆27Updated 2 years ago
- Modeling complex perturbations with CellFlow☆83Updated this week
- External repo for the EFAAR benchmarking paper☆20Updated last month
- Generalizable AI predicts immunotherapy outcomes across cancers and treatments☆37Updated this week
- CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer☆22Updated last month
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆84Updated 3 years ago
- ☆18Updated 3 years ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆72Updated 2 years ago
- Autonomous and accurate clustering of co-localized ion images in a self-supervised manner.☆11Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆52Updated 3 years ago
- Python package for processing image-based profiling data☆121Updated 2 weeks ago
- Contextual AI models for single-cell protein biology☆88Updated 6 months ago
- ☆17Updated 4 years ago