tlatkowski / deep-learning-gene-expression
Deep learning methods for feature selection in gene expression autism data.
☆36Updated 2 years ago
Alternatives and similar repositories for deep-learning-gene-expression
Users that are interested in deep-learning-gene-expression are comparing it to the libraries listed below
Sorting:
- ☆19Updated 4 years ago
- Repository for the T2D/obesity experiments run in the Metapheno paper☆14Updated 6 years ago
- End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning☆23Updated 5 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆29Updated last year
- Cancer Suppressor Gene and Oncogene Prediction using Deep Learning (CNN)☆10Updated 7 years ago
- jupyter notebook; perform differential gene expression analysis using DESeq2 on TCGA RNAseq data☆32Updated 6 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago
- A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations☆20Updated 2 years ago
- Deep Learning Based Tumor Type Classification Using Gene Expression Data☆23Updated 7 months ago
- This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".☆51Updated 6 years ago
- Cancer Drug Response prediction using a Recommender System☆42Updated last year
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.☆36Updated 5 years ago
- Similarity Network Fusion☆32Updated 9 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 6 years ago
- For this project, I used publicly available Electronic Health Records (EHRs) datasets. The MIT Media Lab for Computational Physiology has…☆18Updated last year
- User-submitted RNA-seq data analysis tools for BioJupies.☆20Updated 4 years ago
- Multifactorial modeling of response to checkpoint inhibitor immunotherapy from tumor, immune, and clinical features☆14Updated 6 years ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 5 years ago
- Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces☆39Updated 3 years ago
- Pathway-based sparse deep neural network☆16Updated 4 years ago
- R package for the identification of cancer-associated mutated genes using gene expression and mutation data.☆10Updated 3 years ago
- Graph Neural Network model for survival analysis from multi-omics data☆13Updated 3 years ago
- This repository contains all the source files required to run DeLUCS, a deep learning clustering algorithm for DNA sequences.☆25Updated 2 years ago
- ShinyLearner: a software framework for performing benchmarks of machine-learning classification algorithms☆18Updated 3 years ago
- DeepWAS: Directly integrating regulatory information into GWAS using machine learning☆17Updated 6 years ago
- A unified downloader+preprocessor for cancer genomics datasets☆16Updated last year
- Tools related to the Genomics of Drug Sensitivity in Cancer (GDSC) projects (http://www.cancerrxgene.org/ )☆36Updated 3 years ago
- ☆19Updated 4 years ago
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆49Updated last year