- A novel heterogeneous network|based method for drug response ...🔍
- Drug Response Prediction by Globally Capturing Drug and Cell Line ...🔍
- Predicting cancer drug response using parallel heterogeneous ...🔍
- A Novel Method for Drug Repositioning Based on Heterogeneous ...🔍
- novel approach for drug response prediction in cancer cell lines via ...🔍
- Drug response prediction using graph representation learning and ...🔍
- A network integration approach for drug|target interaction prediction ...🔍
- Drug repositioning based on heterogeneous networks and text mining🔍
A novel heterogeneous network|based method for drug response ...
A novel heterogeneous network-based method for drug response ...
In this study, we propose a novel heterogeneous network-based method, named as HNMDRP, to accurately predict cell line-drug associations.
(PDF) A novel heterogeneous network-based method for drug ...
While existing approach rely primarily on regression, classification or multiple kernel learning to predict drug responses. Synthetic approach ...
Drug Response Prediction by Globally Capturing Drug and Cell Line ...
A recent dual-layer network-based method was proposed to overcome these limitations by embedding gene expression features into a cell line ...
A novel heterogeneous network-based method for drug response ...
AbstractAn enduring challenge in personalized medicine lies in selecting a suitable drug for each individual patient. Here we concentrate on predicting drug ...
Drug Response Prediction by Globally Capturing Drug and Cell Line ...
A recent dual-layer network-based method was proposed to overcome these limitations by embedding gene expression features into a cell line similarity network ...
A novel heterogeneous network-based method for drug response ...
AbstractAn enduring challenge in personalized medicine lies in selecting a suitable drug for each individual patient. Here we concentrate on predicting drug ...
Predicting cancer drug response using parallel heterogeneous ...
This work proposes a neighborhood interaction (NI)-based heterogeneous graph convolution network method, namely NIHGCN, for anticancer drug response prediction ...
A novel heterogeneous network-based method for drug response ...
In this study, we propose a novel heterogeneous network-based method, named as HNMDRP, to accurately predict cell line-drug associations through incorporating ...
A Novel Method for Drug Repositioning Based on Heterogeneous ...
PDF | Drug repositioning is a compelling technique to find new signs for existing medications. Despite the fact that few exploration have attempted to.
novel approach for drug response prediction in cancer cell lines via ...
To incorporate relationships among genes, protein–protein interaction (PPI) network is introduced into prediction models. For example, Stanfield et al. (2017) ...
Drug response prediction using graph representation learning and ...
At first, LGRDRP constructs a heterogeneous network integrating multiple kinds of information: cell line miRNA expression profiles, drug ...
Drug Response Prediction by Globally Capturing Drug and Cell Line ...
Drug Response Prediction by Globally Capturing Drug ... method (MCDRP) based on a ... Network-based Random Walk with Restart on the Heterogeneous network ...
DTI-HeNE: a novel method for drug-target interaction prediction ...
We propose a DTI prediction method DTI-HeNE (DTI based on Heterogeneous Network Embedding), which is specifically designed to cope with the bipartite DTI ...
A network integration approach for drug-target interaction prediction ...
In this work, we develop a computational pipeline, called DTINet, to predict novel drug–target interactions from a constructed heterogeneous network.
Drug repositioning based on heterogeneous networks and text mining
We propose a novel method in drug repositioning based on heterogeneous networks and text mining (HeTDR), which combines drugs features from multiple networks ...
HiDRA: Hierarchical Network for Drug Response Prediction with ...
A novel heterogeneous network-based method for drug response prediction in cancer cell lines ... Scientific Reports. 2018. TLDR. This study proposes a novel ...
Relational Topology-based Heterogeneous Network Embedding for ...
On the other hand, we apply the method of heterogeneous network representation learning to drug-target interaction prediction, which achieves a more rapid and ...
drGAT: Attention-Guided Gene Assessment of Drug Response ...
These transformed inputs are then combined into a unified feature matrix, which is used as input to a GAT layer with an adjacency matrix. For ...
A Machine Learning-Based Biological Drug–Target Interaction ...
That is the reason why the chemical structure similarity and the disease layer are introduced to construct a tripartite heterogeneous network ...
Drug–target interaction prediction by random walk ... - RSC Publishing
In this paper, the method of Network-based Random Walk with Restart on the Heterogeneous network (NRWRH) is developed to predict potential drug –target ...