BioMedicalBigDataMiningLab / lncRNA-protein-interaction-predictionLinks
The source codes for our paper submitted to Neurocomputing in 2017. We propose a linear label propagation method (LPLNP method) to predict unknown lncRNA-protein interactions. In this repository, you can find our dataset and code of individual LPLNP, intergrated LPLNP models, and other state-of-the-art methods. Please follow the Guideline.pdf.
☆18Updated 8 years ago
Alternatives and similar repositories for lncRNA-protein-interaction-prediction
Users that are interested in lncRNA-protein-interaction-prediction are comparing it to the libraries listed below
Sorting:
- Random Walk with Restart on Multiplex and Heterogeneous Biological Networks☆36Updated 5 years ago
- PGCN: Disease gene prioritization by disease and gene embedding through GCN☆79Updated last year
- ☆17Updated 7 years ago
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆15Updated 6 years ago
- Heterogeneous disease-gene-related☆18Updated 4 years ago
- iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, …☆84Updated 3 years ago
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆112Updated 3 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 4 years ago
- Inferring disease-associated miRNAs☆10Updated 5 years ago
- scDeepCluster for Single Cell RNA-seq data☆102Updated last year
- ☆57Updated 6 years ago
- A Network Integration Approach for Drug-Target Interaction Prediction☆183Updated 2 years ago
- 利用深度学习模型挖掘CircRNA-Disease之间的关联☆19Updated 4 years ago
- 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
- DeepTTC: a transformer-based model for predicting cancer drug response☆16Updated 2 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 6 years ago
- Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network …☆34Updated 2 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago
- ☆10Updated 6 years ago
- ☆23Updated 8 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆155Updated 3 years ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆71Updated 2 years ago
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆17Updated 11 months ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- ☆25Updated 2 years ago
- this is the source code and data☆18Updated 6 years ago
- ☆11Updated 3 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 3 years ago
- "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022☆22Updated 2 years ago
- A VGAE-based model to infer transcription factor regulatory network☆28Updated 3 years ago