Shamir-Lab / Multi-Omics-Cancer-Benchmark
☆26Updated 4 years ago
Alternatives and similar repositories for Multi-Omics-Cancer-Benchmark:
Users that are interested in Multi-Omics-Cancer-Benchmark are comparing it to the libraries listed below
- ☆64Updated last year
- ☆17Updated 5 years ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆15Updated 2 years ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆29Updated 5 years ago
- a deep learning approach for integrative cancer subtyping of multi-omics data☆38Updated 8 months ago
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆30Updated 6 months ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆37Updated 2 years ago
- SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network …☆21Updated 4 years ago
- ☆21Updated 7 months ago
- MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…☆149Updated 3 years ago
- overview of spatial datasets☆69Updated 10 months ago
- ☆49Updated 5 years ago
- Deep-Learning framework for multi-omic and survival data integration☆79Updated last year
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 2 years ago
- Multi-omics integration method using AE and GCN☆33Updated last year
- Python 2.7 implementation of network-based stratification (NBS) algorithm from Hofree et al (Nature Methods 2013)☆38Updated 3 months ago
- ☆21Updated 4 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆58Updated last year
- Deep Embedding for Single-cell Clustering☆86Updated 9 months ago
- ☆10Updated last year
- An unsupervised approach for the integrative analysis of single-cell multi-omics data☆28Updated 4 years ago
- GREP: Genome for REPositioning drugs☆37Updated 2 years ago
- Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping☆11Updated 3 years ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 5 years ago
- repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks☆14Updated 2 years ago
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆30Updated last year