carpenter-singh-lab / 2023_Arevalo_NatComm_BatchCorrection
Evaluating batch correction methods for image-based cell profiling
☆9Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for 2023_Arevalo_NatComm_BatchCorrection
- ☆55Updated 7 months ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆47Updated last year
- ☆50Updated last year
- Cell Painting Gallery☆68Updated last week
- Optimizing the Cell Painting assay for image-based profiling☆19Updated last year
- ☆29Updated 3 years ago
- Sub-cellular spatial transcriptomics Cell Segmentation☆55Updated last year
- ☆54Updated 2 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆29Updated this week
- Interpretation by Deep Generative Masking for Biological Sequences☆34Updated 2 years ago
- Lists and 384-well plate maps of compounds and genetic perturbations designed to assess connectivity in profiling assays☆20Updated 7 months ago
- Reproducing the experiments of the DestVI paper☆17Updated 2 years ago
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆13Updated last week
- ☆21Updated 2 years ago
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications☆48Updated 7 months ago
- MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…☆32Updated 2 years ago
- ☆45Updated last month
- Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)☆48Updated 7 months ago
- Self-supervised models for encoding protein localization patterns from microscopy images☆74Updated last month
- ☆32Updated 2 years ago
- ☆19Updated 4 years ago
- InMoose is the INtegrated Multi Omic Open Source Environment. It is a collection of tools for the analysis of omic data.☆54Updated this week
- ☆48Updated 7 months ago
- Create cell sentences from sequencing data☆21Updated 3 months ago
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 3 years ago
- Processed Cell Painting Data for the LINCS Drug Repurposing Project☆25Updated 2 years ago
- Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments. The code is distributed under an …☆9Updated last year
- A model developed for the generation of scRNA-seq data☆35Updated 2 months ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆62Updated 6 months ago
- a framework for predicting global protein-protein interaction networks from dynamic mass spec data☆23Updated 7 months ago