canc1993 / graces
☆13Updated last year
Alternatives and similar repositories for graces:
Users that are interested in graces are comparing it to the libraries listed below
- Weight Predictor Networks with Sparse Feature Selection for Small Size Tabular Biomedical Data. Published at AAAI 2023☆17Updated last year
- End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.☆32Updated 3 years ago
- ☆13Updated last year
- ☆18Updated 3 years ago
- Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure☆10Updated 3 years ago
- ☆42Updated 10 months ago
- MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…☆150Updated 3 years ago
- single-cell graph attentional clustering☆12Updated 3 years ago
- ☆12Updated 2 years ago
- Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)☆17Updated 4 years ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆73Updated last month
- Deep Learning-based Clustering Approaches for Bioinformatics☆135Updated 4 years ago
- A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations☆19Updated 2 years ago
- It contains some of the novel feature selection algorithms I've developed☆13Updated 3 years ago
- scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder☆16Updated 3 years ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆15Updated 3 years ago
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆73Updated 3 months ago
- a variational autoencoder method for clustering single-cell mutation data☆10Updated 9 months ago
- Feature selection problem is one of the most significant issues in data classification. The purpose of feature selection is selection of …☆10Updated 5 years ago
- scDCC: Single Cell Deep Constrained Clustering☆41Updated 7 months ago
- Implementations in both Matlab and R of the CIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/s…☆17Updated last year
- Deep soft K-means clustering with self-training for single cell RNA sequence data☆24Updated 4 years ago
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆16Updated 4 months ago
- Multi-task deep learning framework for multi-omics data analysis☆40Updated 2 years ago
- TCGA Benchmark Tasks for Clinical Attribute Prediction based on Genome☆13Updated 3 years ago
- Deep Embedding for Single-cell Clustering☆84Updated 10 months ago
- An Interpretable Self-Attention Network with block-attention and attention-attribution.☆11Updated last year
- Cell clustering for spatial transcriptomics data with graph neural network☆57Updated last year
- scDeepCluster for Single Cell RNA-seq data☆99Updated 7 months ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆148Updated 2 years ago