rezacsedu / Neural-Ensemble-Method-for-Cancer-Prediction
A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations
☆20Updated 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
Sorting:
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago
- End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning☆24Updated 5 years ago
- ☆19Updated 4 years ago
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- ☆19Updated 4 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆29Updated last year
- Deep Learning Based Tumor Type Classification Using Gene Expression Data☆23Updated 7 months ago
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆15Updated 5 years ago
- Repository for the T2D/obesity experiments run in the Metapheno paper☆14Updated 6 years ago
- Perform hyper-parameter tuning, training, testing and prediction with Keras☆44Updated 6 years ago
- Pathway-based sparse deep neural network☆16Updated 4 years ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 5 years ago
- Deep learning methods for feature selection in gene expression autism data.☆36Updated 2 years ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆15Updated 3 years ago
- ☆19Updated 5 years ago
- Cancer Drug Response prediction using a Recommender System☆42Updated last year
- Graph Neural Network model for survival analysis from multi-omics data☆13Updated 3 years ago
- OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data☆11Updated 2 years ago
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆48Updated last year
- 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
- Single-cell RNA-seq clustering and annotation☆13Updated 4 years ago
- DNA Microarray Gene Expression Data Classification Using SVM and MLP with Feature Selection Methods Relief and LASSO☆29Updated 5 years ago
- Compute a 2D embedding of a data matrix given supervised class information.☆12Updated 5 years ago
- ☆23Updated 4 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
- Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis☆46Updated 4 years ago
- mRNN is an implementation of a Gated Recurrent Unit (GRU) network for classification of transcripts as either coding or noncoding.☆21Updated 6 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- A hybrid deep convolutional neural network for predicting chromatin accessibility☆24Updated 6 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 6 years ago