idekerlab / MuSIC
Multi-Scale Integrated Cell
☆35Updated 2 years ago
Alternatives and similar repositories for MuSIC:
Users that are interested in MuSIC are comparing it to the libraries listed below
- ☆28Updated last month
- Biological Network Integration using Convolutions☆61Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆53Updated last year
- CliXO algorithm re-implemented☆15Updated 3 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆47Updated 3 weeks ago
- Flow & mass cytometry analytics.☆43Updated last week
- immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.☆66Updated this week
- a dataloader to work with large single cell datasets from lamindb☆21Updated last week
- A deep-learning based multi-modal data integration suite that aims to achieve synesis in a flexible manner☆32Updated this week
- Predicting Cell Health with Morphological Profiles☆36Updated 3 years ago
- python client for reactome content, analysis, and human functional protein interactions (FI) services api calls.☆28Updated last year
- Knowledge-primed neural networks☆35Updated last year
- Optimizing the Cell Painting assay for image-based profiling☆19Updated last month
- A network based gene classification library to generate genome wide predictions about genes that are functionally similar to the input ge…☆20Updated this week
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆49Updated last year
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability☆8Updated 5 years ago
- A Python package for gene network analysis☆32Updated 2 years ago
- Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …☆41Updated last week
- Connectivity Map analysis in MATLAB☆42Updated 3 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆29Updated 2 weeks ago
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2…☆29Updated last year
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨☆52Updated 8 months ago
- ☆13Updated 2 years ago
- repository containing analysis scripts and auxiliary files☆33Updated 4 years ago
- A data-centric flow/mass cytometry automated analysis framework☆38Updated last month
- Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.☆17Updated last month
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- accurate prediction of promoter activity and variant effects from massive parallel reporter assays☆34Updated 3 months ago