wangboyunze / Network_EnhancementLinks
☆29Updated 7 years ago
Alternatives and similar repositories for Network_Enhancement
Users that are interested in Network_Enhancement are comparing it to the libraries listed below
Sorting:
- Python 2.7 package with examples for evaluating a network's ability to group a given node set in network proximity.☆32Updated 2 years ago
- ☆48Updated 6 years ago
- covolutional neural network based coexpression analysis☆78Updated 5 years ago
- OhmNet: Representation learning in multi-layer graphs☆83Updated 4 years ago
- Git Repo for simulating Boolean Models☆35Updated last year
- Hypergraph Factorisation☆23Updated 7 months ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 8 months ago
- This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biolo…☆31Updated 4 years ago
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆15Updated 5 years ago
- ☆55Updated 5 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 6 years ago
- SemI-SUpervised generative Autoencoder models for single cell data☆18Updated 4 years ago
- Disease pathways in the human interactome☆23Updated 7 years ago
- multiway chromatin interaction, 3D genome, single-nucleus, hypergraph representation learning☆29Updated 2 years ago
- Variational autoencoder for single cell RNA-seq datasets☆44Updated 7 years ago
- K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data☆55Updated 2 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 2 years ago
- ☆18Updated 3 years ago
- Python, R and Matlab implementation of Brown's Method to combine dependent P-values☆25Updated 7 years ago
- Data, results, and code accompanying the manuscript: "Supervised learning is an accurate method for network-based gene classification"☆10Updated 3 years ago
- Assembles a graph manifold from time series single-cell RNAseq data☆17Updated 4 years ago
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆37Updated last year
- ☆27Updated 2 years ago
- Archetypal Analysis network (AAnet)☆33Updated 4 months ago
- Extension of the WGCNA program to improve the eigengene similarity of modules and increase the overall number of genes in modules.☆64Updated 4 years ago
- ☆16Updated last year
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago