rezacsedu / Neural-Ensemble-Method-for-Cancer-Prediction
A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations
☆19Updated 2 years ago
Alternatives and similar repositories for Neural-Ensemble-Method-for-Cancer-Prediction:
Users that are interested in Neural-Ensemble-Method-for-Cancer-Prediction are comparing it to the libraries listed below
- ☆18Updated 3 years ago
- End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning☆23Updated 5 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago
- OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data☆9Updated last year
- Compute a 2D embedding of a data matrix given supervised class information.☆12Updated 5 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 2 years ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆15Updated 3 years ago
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆16Updated 4 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 5 years ago
- Graph Neural Network model for survival analysis from multi-omics data☆12Updated 2 years 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
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 5 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆28Updated 9 months ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆53Updated 4 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- ☆19Updated 4 years ago
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 3 years ago
- Deep learning methods for feature selection in gene expression autism data.☆35Updated 2 years ago
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆13Updated 5 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆11Updated 3 years ago
- Repository for the T2D/obesity experiments run in the Metapheno paper☆14Updated 5 years ago
- A hybrid deep convolutional neural network for predicting chromatin accessibility☆24Updated 5 years ago
- Pathway-based sparse deep neural network☆15Updated 4 years ago
- Cancer Drug Response prediction using a Recommender System☆41Updated last year
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆74Updated 3 years ago
- SemI-SUpervised generative Autoencoder models for single cell data☆18Updated 3 years ago
- ☆9Updated 5 years ago
- An interpretable deep-learning architecture of capsule networks for identifying cellular-type gene expression programs from single-cell R…☆26Updated 4 years ago
- SAME (Single-cell RNA-seq Aggregated clustering via Mixture model Ensemble): Cluster ensemble for single-cell RNA-seq data☆14Updated 3 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year