biomedicalbigdatamininglab Goto Github PK

ammgc

awesome-network-embedding

A curated list of network embedding techniques.

bdsilp

branchapp

the desktop packege for the paper "Zhang, W., Zhu, X., Fu, Y., Tsuji, J., & Weng, Z. (2016). The prediction of human splicing branchpoints by multi-label learning. IEEE International Conference on Bioinformatics and Biomedicine (pp.254-259). IEEE Computer Society.'

cd-lnlp

Datasets and Code for "Predicting CircRNA-disease Associations through Linear Neighborhood Label Propagation Method"

csgnn

deepirna

data and source codes for paper "DeepiRNA: Predicting transposon-derived piRNAs with deep learning"

disease-mesh-similarity

For each disease, a directed acyclic graph (DAG) is constructed based on hierarchical descriptors, in which nodes represent disease MeSH descriptors (or disease terms) and edges represent the relationship between the current node and its ancestors. Then compare the DAG Similarity.

drug-drug-interaction

The source code for the paper "Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data",Zhang et al. BMC Bioinformatics (2017) 18:18.

epihc

EPIHC: Improving Enhancer-Promoter Interaction Prediction by using Hybrid features and Communicative learning

geel

gnnpapers

Must-read papers on graph neural networks (GNN)

graphcdr

GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction

itlnc-bxe

ItLnc-BXE: Identification of plant lncRNAs using a Bagging-XGBoost-ensemble method with multiple features

lagcn

Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"

lncpred-iel

LncPred-IEL: A Long Non-coding RNA Prediction Method using Iterative Ensemble Learning

lncrna-protein-interaction-prediction

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.

mvgcn

MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.

nemii

network

phiaf

pirnapredictor

The source code for the paper "A genetic algorithm-based weighted ensemble method for predicting transposon-derived piRNAs",Zhang et al. (2016) 17: 329. doi:10.1186/s12859-016-1206-3

predlnc-gfstack

PredLnc-GFStack: a Global Sequence Feature Based on a Stacked Ensemble Learning Method for Predicting lncRNAs from Transcripts

relationgcn

最基础的gcn实现单关联预测

scmfdd

sflln

The source code for our paper "SFLLN: a sparse feature learning ensemble method with linear neighborhood regularization for predicting drug-drug interactions". In this repository, you can find our dataset "feature matrix.xls", "interaction matrix.txt" and source code "SFLLN.py". Please follow the "Readme.txt" for more details.

sgnnmd

slnpm

LncRNA-miRNA interaction prediction through sequence-derived linear neighborhood propagation method with information combination

srna-prediction

Code and dataset for "Sequence-based bacterial small RNAs prediction using ensemble learning strategies" Please kindly cite the paper if you use the code or the datasets.

tdrc

tensor decomposition, python