InfectionMedicineProteomics / BINN
Generating biologically informed neural networks
☆43Updated last month
Alternatives and similar repositories for BINN:
Users that are interested in BINN are comparing it to the libraries listed below
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆56Updated 2 weeks ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated 2 months ago
- InMoose is the INtegrated Multi Omic Open Source Environment. It is a collection of tools for the analysis of omic data.☆71Updated last month
- Functional Embedding of Gene Signatures☆40Updated last year
- Multi-omics biomarker discovery tool exploiting a gene-gene interaction network☆16Updated 11 months ago
- ☆65Updated last year
- ☆55Updated 4 months ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- Multi-omics integration method using AE and GCN☆34Updated last year
- Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction a…☆17Updated 3 years ago
- A deep-learning framework for multi-omics integration☆25Updated last year
- Models and datasets for perturbational single-cell omics☆151Updated 2 years ago
- ☆55Updated last year
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆74Updated 4 months ago
- ☆53Updated 11 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆30Updated last month
- BulkRNABert: Cancer prognosis from bulk RNA-seq based language models☆20Updated 8 months ago
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- Utilizing single-cell omics from patients tumor to predict response and resistance.☆63Updated last year
- Python packaging for CPTAC data☆93Updated 9 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆97Updated 7 months ago
- Formalizing and benchmarking open problems in single-cell genomics☆56Updated 3 months ago
- ☆54Updated 2 years ago
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆64Updated 2 months ago
- Python package to load and query ARCHS4 data☆19Updated last week
- Contextual AI models for single-cell protein biology☆82Updated last month
- Knowledge-primed neural networks☆35Updated 2 years ago
- MONET : MOdularising NEtwork Toolbox - https://doi.org/10.1093/bioinformatics/btaa236☆45Updated 3 years ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆116Updated last month
- ☆29Updated this week