krumsieklab / mtVAE
Variational autoencoders learn universal latent representations of metabolomics data (supplementary code)
☆11Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for mtVAE
- Generating biologically informed neural networks☆28Updated 6 months ago
- Code for the paper "Antimicrobial resistance prediction in clinical isolates through machine learning on MALDI-TOF mass spectra"☆31Updated 2 years ago
- ☆62Updated last year
- ⛑ Code for "Metabolomic profiles predict individual multi-disease outcomes" ⛑☆21Updated 2 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 5 years ago
- A Python module for loading phenotypic and genetic data from the UK Biobank.☆35Updated 3 years ago
- Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.☆35Updated 4 years ago
- ☆50Updated last year
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆46Updated last year
- ☆19Updated 4 years ago
- Creating multi-resolution embeddings and clusters from high dimensional data☆48Updated last month
- ☆48Updated 7 months ago
- Similarity Network Fusion☆31Updated 9 years ago
- R-package to perform metabolomics pre-processing, differential metabolite analysis, metabolite clustering and custom visualisations.☆10Updated this week
- PathIntegrate Python package for pathway-based multi-omics data integration☆11Updated last week
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 3 years ago
- Code for preparing and running the imageCCA method.☆20Updated 7 years ago
- Python 2.7 implementation of network-based stratification (NBS) algorithm from Hofree et al (Nature Methods 2013)☆38Updated last month
- FUNctional toolKIt platform for multi-omic functional analysis. An standardised pipeline to analysis transcriptomic, proteomic, phospho…☆13Updated 2 years ago
- ☆12Updated 4 years ago
- BioLearns: Computational Biology and Bioinformatics Toolbox in Python☆12Updated 2 years ago
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- ☆20Updated 3 years ago
- ☆29Updated 3 years ago
- CMap Notebooks for LINCS 2020 Workshop☆45Updated 3 years ago
- InMoose is the INtegrated Multi Omic Open Source Environment. It is a collection of tools for the analysis of omic data.☆56Updated this week
- Deep-Learning framework for multi-omic and survival data integration☆76Updated 11 months ago
- Predicting Cell Health with Morphological Profiles☆35Updated 2 years ago