UofLBioinformatics / circDeep
End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning
☆23Updated 5 years ago
Alternatives and similar repositories for circDeep:
Users that are interested in circDeep are comparing it to the libraries listed below
- ☆19Updated 4 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆29Updated last year
- Concise: Keras extension for regulatory genomics☆35Updated 2 years ago
- ☆10Updated 4 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 5 years ago
- R package for the identification of cancer-associated mutated genes using gene expression and mutation data.☆10Updated 3 years ago
- covolutional neural network based coexpression analysis☆76Updated 4 years ago
- 🏺 Exploring novel tumor epitope identification☆35Updated 4 years ago
- ☆55Updated 5 years ago
- Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis☆46Updated 4 years ago
- Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.☆36Updated 5 years ago
- Code for the paper "Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellula…☆44Updated 3 years ago
- Moana: Robust cell type classification of single-cell RNA-Seq data☆24Updated 6 years ago
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆48Updated last year
- Tools related to the Genomics of Drug Sensitivity in Cancer (GDSC) projects (http://www.cancerrxgene.org/ )☆36Updated 3 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago
- A hybrid deep convolutional neural network for predicting chromatin accessibility☆24Updated 6 years ago
- Knowledge-primed neural networks☆36Updated 2 years ago
- ☆23Updated 5 years ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆22Updated 3 years ago
- A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides…☆41Updated 2 years ago
- ☆19Updated 3 years ago
- Single-cell exploratory data analysis for RNA-Seq☆40Updated 3 years ago
- scLearn：Learning for single cell assignment☆35Updated 4 months ago
- Code for the paper "A comprehensive examination of Nanopore native RNA sequencing for characterization of complex transcriptomes"☆19Updated 5 years ago
- Similarity Network Fusion☆32Updated 9 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 4 years ago
- Deep Feature Interaction Maps (DFIM)☆53Updated 6 years ago
- TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages☆44Updated last year
- a python package for KEGG pathway enrichment analysis with multiple gene lists.☆36Updated 7 years ago