chl8856 / DeepIMVLinks
A Variational Information Bottleneck Approach to Multi-Omics Data Integration
☆24Updated 4 years ago
Alternatives and similar repositories for DeepIMV
Users that are interested in DeepIMV are comparing it to the libraries listed below
Sorting:
- ☆16Updated 4 years ago
- Few shot learning for cancer☆36Updated 4 years ago
- AffinityNet with feature attention layer and kNN attention pooling layer for few-shot semi-supervised learning☆38Updated 7 years ago
- Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)☆28Updated 3 months ago
- Multi-task deep learning framework for multi-omics data analysis☆48Updated 3 years ago
- ☆19Updated 5 years ago
- ☆44Updated last year
- TCGA Benchmark Tasks for Clinical Attribute Prediction based on Genome☆14Updated 4 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.☆34Updated 4 years ago
- [ICLR 2025] Stem: Gene Expression Inference from Histology Images☆39Updated 7 months ago
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- Weakly Supervised Contrastive Learning☆44Updated 4 years ago
- Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction☆88Updated 6 years ago
- SimTriplet: PyTorch Implementation☆27Updated 4 years ago
- The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"☆34Updated 3 years ago
- ☆19Updated 4 months ago
- ☆21Updated 8 months ago
- Contrastive Variational Autoencoders☆71Updated 6 years ago
- ☆46Updated 5 years ago
- This is the official repo for the Liver Kidney Stomach dataset introduced in the paper: SOS: Selective Objective Switch for Rapid Immunof…☆17Updated 5 years ago
- Learning disentangled representations of single-cell data for high-quality generation☆16Updated last year
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆77Updated last year
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 5 years ago
- Drug Response Variational Autoencoder☆34Updated 6 years ago
- Official Tensorflow implementation for Deep Generative Positive-Unlabeled Learning under Selection Bias (VAE-PU) in CIKM 2020.☆14Updated 4 years ago
- Multiple instance learning with graph neural networks.☆31Updated 4 years ago
- Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch☆60Updated 2 weeks ago
- A PyTorch implementation of the Variational approach for PU learning☆31Updated 5 years ago