fsct135 / DCAPLinks
DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
☆21Updated 4 years ago
Alternatives and similar repositories for DCAP
Users that are interested in DCAP are comparing it to the libraries listed below
Sorting:
- Deep-Learning framework for multi-omic and survival data integration☆83Updated last year
- ☆55Updated 2 years ago
- This project consists of three parts: Random forest model for GC diagnosis and Predict the survival outcomes of GC patient using RSF meth…☆30Updated 9 months ago
- ☆33Updated 4 years ago
- SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention☆42Updated 3 months ago
- ☆43Updated 8 months ago
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆48Updated last year
- Code for paper "A deep profile of gene expression across 18 human cancers"☆26Updated 8 months ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆68Updated 10 months ago
- Python packaging for CPTAC data☆96Updated last year
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆81Updated 10 months ago
- DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images☆52Updated last month
- ☆16Updated last year
- repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks☆16Updated 3 years ago
- a deep learning approach for integrative cancer subtyping of multi-omics data☆38Updated last year
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆30Updated 4 months ago
- Multi-omics integration method using AE and GCN☆36Updated 2 years ago
- Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)☆57Updated last year
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- Building classifiers using cancer transcriptomes across 33 different cancer-types☆119Updated 6 years ago
- ☆67Updated last year
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆50Updated 3 weeks ago
- ☆34Updated last month
- Clinical sequencing-based primary site classifier☆34Updated last year
- Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.☆36Updated 5 years ago
- ☆45Updated last month
- P-NET, Biologically informed deep neural network for prostate cancer classification and discovery☆157Updated 3 years ago
- Reproducing the experiments of the DestVI paper☆19Updated 3 years ago
- Framework for Interpretable Neural Networks☆109Updated 5 months ago