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
- ☆17Updated 5 years ago
- ☆65Updated last year
- a deep learning approach for integrative cancer subtyping of multi-omics data☆39Updated 10 months ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆30Updated 5 years ago
- SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network …☆21Updated 4 years ago
- Similarity Network Fusion☆32Updated 9 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
- ☆20Updated 5 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 2 years ago
- ☆21Updated 9 months ago
- xOAML - NatComms☆11Updated 8 months ago
- Deep Embedding for Single-cell Clustering☆84Updated 11 months ago
- Python 2.7 implementation of network-based stratification (NBS) algorithm from Hofree et al (Nature Methods 2013)☆37Updated 5 months ago
- ☆14Updated 2 years ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆15Updated 3 years ago
- Implementations in both Matlab and R of the SIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/n…☆110Updated this week
- End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.☆34Updated 3 years ago
- ☆49Updated 5 years ago
- ☆19Updated 4 years ago
- Deep-Learning framework for multi-omic and survival data integration☆80Updated last year
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- ☆55Updated 4 years ago
- ☆54Updated 2 years ago
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆48Updated last year
- GREP: Genome for REPositioning drugs☆40Updated 2 years ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 5 years ago
- SAFE (Single-cell Aggregated clustering From Ensemble): Cluster ensemble for single-cell RNA-seq data☆17Updated 4 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago
- Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data☆26Updated 5 years ago
- repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks☆14Updated 3 years ago