cailab-tamu / QuantumGRN
Quantum Gene Regulatory Networks with Application to Single-cell Data
☆18Updated 4 months ago
Alternatives and similar repositories for QuantumGRN:
Users that are interested in QuantumGRN are comparing it to the libraries listed below
- scGEAToolbox: Matlab toolbox for single-cell gene expression analyses☆25Updated this week
- Biological Network Integration using Convolutions☆60Updated last year
- Multi-modal single cell analysis pipelines☆58Updated this week
- This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biolo…☆31Updated 4 years ago
- Unified knowledge-driven network inference from omics data☆29Updated this week
- Python client for the OmniPath web service☆43Updated 7 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆93Updated 5 months ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- Data Integration tool utilizing network information for predictive analyses☆16Updated last year
- spatial transcriptome, single cell☆66Updated last year
- Explaining the genetic causality for complex diseases by deep association kernel learning☆15Updated 3 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- Machine Learning in Medical Bioinformatics☆21Updated 9 months ago
- C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.☆68Updated 6 months ago
- SIMBA: SIngle-cell eMBedding Along with features☆57Updated 3 months ago
- Quantifying experimental perturbations at single cell resolution☆106Updated 3 months ago
- A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.☆54Updated 9 months ago
- A deep-learning based multi-modal data integration suite that aims to achieve synesis in a flexible manner☆26Updated this week
- A causal implicit generative model for simulating single-cell RNA-seq data guided by a gene regulatory network 🧬☆24Updated 5 months ago
- A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.☆89Updated 5 months ago
- Python package to perform enrichment analysis from omics data.☆176Updated this week
- Code for the analyses in the human reference interactome paper.☆26Updated 2 years ago
- ☆26Updated 2 years ago
- Quantum Accelerated Genome Sequencing☆10Updated 3 years ago
- Context specific and dynamic gene regulatory network reconstruction and analysis☆112Updated 4 months ago
- Code and example of the D-SPIN framework☆17Updated 2 weeks ago
- MultiMAP for integration of single cell multi-omics☆54Updated last year
- ☆73Updated last year
- Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis☆19Updated 5 years ago