SharifBioinf / DeePathology
Tissue and Cancer Type Identification using Deep Neural Networks
☆14Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeePathology
- ☆19Updated 4 years ago
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆48Updated last year
- A Python implementation of the model described in our publication "A convolutional neural network for common-coordinate registration of h…☆25Updated 3 years ago
- Creating multi-resolution embeddings and clusters from high dimensional data☆48Updated last month
- Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.☆35Updated 4 years ago
- Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4…☆20Updated 2 years ago
- Single-cell exploratory data analysis for RNA-Seq☆39Updated 3 years ago
- End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning☆23Updated 4 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆25Updated 7 months ago
- BioBombe: Sequentially compressed gene expression features enhances biological signatures☆64Updated 4 months ago
- Data Integration tool utilizing network information for predictive analyses☆16Updated last year
- astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨☆50Updated 5 months ago
- Shareable project for: Decomposing Oncogenic Transcriptional Signatures to Generate Maps of Divergent Cellular States☆10Updated 4 years ago
- R package for the identification of cancer-associated mutated genes using gene expression and mutation data.☆10Updated 3 years ago
- Pan-cancer quantitative histopathology analysis using deep learning☆10Updated 2 years ago
- IHC-image analysis workflow☆21Updated 6 years ago
- Personalized Medicine: Redefining Cancer Treatment with deep learning☆22Updated 7 years ago
- ☆15Updated 2 years ago
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 3 years ago
- Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces☆39Updated 3 years ago
- A Python package for gene network analysis☆32Updated 2 years ago
- A unified downloader+preprocessor for cancer genomics datasets☆14Updated 7 months ago
- Generative adversarial networks for single-cell RNA-seq imputation☆36Updated 4 years ago
- Representation Learning for detection of phenotype-associated cell subsets☆65Updated 4 years ago
- jupyter notebook; perform differential gene expression analysis using DESeq2 on TCGA RNAseq data☆29Updated 5 years ago
- SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.☆35Updated last year
- Concise: Keras extension for regulatory genomics☆34Updated last year
- generalized principal component analysis (GLM-PCA) implemented in python☆57Updated 3 years ago
- Using traditional machine learning and deep learning methods to predict stuff from TCGA pathology slides.☆18Updated 6 years ago
- VorteX Clustering Environment - Java graphical tool for single-cell analysis, clustering and visualization. Latest release:☆35Updated last year