carpenter-singh-lab / 2022_Haghighi_NatureMethodsLinks
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
☆48Updated 4 months ago
Alternatives and similar repositories for 2022_Haghighi_NatureMethods
Users that are interested in 2022_Haghighi_NatureMethods are comparing it to the libraries listed below
Sorting:
- ☆31Updated 3 weeks ago
- Modeling complex perturbations with CellFlow☆39Updated last week
- ☆58Updated 8 months ago
- ☆52Updated last year
- Biological Network Integration using Convolutions☆62Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated last month
- ☆14Updated 2 years ago
- Create cell sentences from sequencing data☆22Updated 9 months ago
- ☆26Updated last week
- Python package to load and query ARCHS4 data☆22Updated 2 months ago
- SIMBA: SIngle-cell eMBedding Along with features☆61Updated 7 months ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- ☆27Updated 4 years ago
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆69Updated 4 months ago
- ☆54Updated last week
- repository containing analysis scripts and auxiliary files☆34Updated 5 years ago
- ☆55Updated last year
- Knowledge-primed neural networks☆37Updated 2 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.☆44Updated 4 months ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …☆48Updated last week
- ☆33Updated 4 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆127Updated 3 months ago
- Decima is a Python library to train sequence models on single-cell RNA-seq data.☆37Updated 3 weeks ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆42Updated last year
- Integrate Any Omics: Towards genome-wide data integration for patient stratification☆52Updated last week
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨☆52Updated 11 months ago
- ☆36Updated this week