DabinJeong / GOAT_multi-omics_biomarkerLinks
Multi-omics biomarker discovery tool exploiting a gene-gene interaction network
☆17Updated last year
Alternatives and similar repositories for GOAT_multi-omics_biomarker
Users that are interested in GOAT_multi-omics_biomarker are comparing it to the libraries listed below
Sorting:
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- Multi-omics integration method using AE and GCN☆34Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated 4 months ago
- A deep-learning framework for multi-omics integration☆26Updated last year
- ☆36Updated last week
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- repository containing analysis scripts and auxiliary files☆34Updated 5 years ago
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- ☆32Updated last month
- Explainable Multilayer Graph Neural Network for Cancer Gene Prediction☆16Updated last year
- A VGAE-based model to infer transcription factor regulatory network☆27Updated 2 years ago
- ☆42Updated last year
- Python package to load and query ARCHS4 data☆22Updated 2 months ago
- ☆14Updated 2 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated 11 months ago
- Functional Embedding of Gene Signatures☆43Updated last year
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- ☆38Updated 2 years ago
- ☆26Updated last week
- Knowledge-primed neural networks☆37Updated 2 years ago
- ☆11Updated last week
- This repository implements Graph Variational Causal Inference (graphVCI), a framework that integrates prior knowledge of relational infor…☆19Updated 3 months ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆23Updated 2 years ago
- ☆27Updated 2 months ago
- cTPnet Package☆25Updated 2 years ago
- ☆17Updated 3 years ago
- ☆66Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated last month
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆14Updated 7 months ago