carpenter-singh-lab / 2023_Arevalo_NatComm_BatchCorrectionLinks
Evaluating batch correction methods for image-based cell profiling
☆14Updated last month
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:
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆51Updated last month
- Cell Painting Gallery☆109Updated 2 weeks ago
- Processed Cell Painting Data for the LINCS Drug Repurposing Project☆29Updated 3 years ago
- ☆65Updated 7 months ago
- A deep-learning framework for multi-omics integration☆27Updated 2 years ago
- External repo for the EFAAR benchmarking paper☆20Updated last week
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆48Updated 2 months ago
- ☆16Updated 8 months ago
- Images and other data from the JUMP Cell Painting Consortium☆177Updated this week
- Lists and 384-well plate maps of compounds and genetic perturbations designed to assess connectivity in profiling assays☆23Updated 9 months ago
- Predicting assays Using Morphological Analysis☆14Updated last year
- Generalizable AI predicts immunotherapy outcomes across cancers and treatments☆39Updated this week
- Autonomous and accurate clustering of co-localized ion images in a self-supervised manner.☆11Updated 3 years ago
- Python packaging for CPTAC data☆102Updated last year
- Python package to load and query ARCHS4 data☆23Updated 2 months ago
- ☆50Updated 2 months ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆124Updated 8 months ago
- BulkFormer: A large-scale foundation model for human bulk transcriptomes☆20Updated 3 months ago
- MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…☆35Updated 3 years ago
- A visible neural network model for drug response prediction☆148Updated 2 years ago
- ☆35Updated last week
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 5 years ago
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 4 years ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆55Updated 2 years ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆73Updated 2 years ago
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆86Updated 3 years ago
- ☆42Updated 4 months ago
- MS/MS prediction for peptides☆24Updated 4 years ago
- Predicting Cell Health with Morphological Profiles☆37Updated 3 years ago