WGLab / GDPLinks
Group lasso based Deep Neural Network for Cancer Prognosis
☆15Updated 6 years ago
Alternatives and similar repositories for GDP
Users that are interested in GDP are comparing it to the libraries listed below
Sorting:
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆50Updated 2 years ago
- R package for the identification of cancer-associated mutated genes using gene expression and mutation data.☆10Updated 4 years ago
- Representation Learning for detection of phenotype-associated cell subsets☆66Updated 5 years ago
- 2018 Recommended Papers to Read in Bioinformatics as Voted by Bioinformaticians☆26Updated 7 years ago
- ShinyLearner: a software framework for performing benchmarks of machine-learning classification algorithms☆18Updated 4 years ago
- Pandas API for multiple Gene Set Enrichment Analysis implementations in Python (GSEApy, cudaGSEA, GSEA)☆16Updated 2 years ago
- BioBombe: Sequentially compressed gene expression features enhances biological signatures☆65Updated last year
- Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis☆19Updated 6 years ago
- Creating multi-resolution embeddings and clusters from high dimensional data☆58Updated last year
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆32Updated 6 months ago
- Parallel opt-SNE implementation with Python wrapper☆38Updated 3 years ago
- Automated Modelling for Biological Evidence-based Research☆47Updated 2 years ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 4 years ago
- Automated and variant-aware CRISPR/Cas9 editing outcome predictor☆10Updated 4 years ago
- Concise: Keras extension for regulatory genomics☆35Updated 3 years ago
- Analysis notebooks for "SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes".☆14Updated 5 years ago
- Single-cell exploratory data analysis for RNA-Seq☆40Updated 4 years ago
- Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces☆40Updated 4 years ago
- ☆14Updated 7 months ago
- Moana: Robust cell type classification of single-cell RNA-Seq data☆24Updated 7 years ago
- ☆19Updated 4 years ago
- Main codes for AD epigenetics paper by Nativio et al.☆11Updated 6 years ago
- ☆18Updated 8 years ago
- ☆17Updated last year
- ☆102Updated last year
- ☆12Updated 2 years ago
- Feature extraction algorithm for genomic data☆15Updated 4 years ago
- Bootstrap imputation for scRNAseq data☆12Updated 5 years ago
- Modular framework for deep learning predictions on methylation data.☆55Updated 5 years ago
- Multi-omics studies are available here☆52Updated 3 years ago