| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A network representation approach for COVID-19 drug recommendation
|
Liu, Haifeng
|
|
|
198 |
C |
p. 3-10
|
artikel
|
| 2 |
Comparative analysis of network-based approaches and machine learning algorithms for predicting drug-target interactions
|
Jung, Yi-Sue
|
|
|
198 |
C |
p. 19-31
|
artikel
|
| 3 |
Editorial Board
|
|
|
|
198 |
C |
p. ii
|
artikel
|
| 4 |
EpiHNet: Detecting epistasis by heterogeneous molecule network
|
Wang, Xin
|
|
|
198 |
C |
p. 65-75
|
artikel
|
| 5 |
Graph convolutional network approach to discovering disease-related circRNA-miRNA-mRNA axes
|
He, Chengxin
|
|
|
198 |
C |
p. 45-55
|
artikel
|
| 6 |
Heterogeneous graph attention networks for drug virus association prediction
|
Long, Yahui
|
|
|
198 |
C |
p. 11-18
|
artikel
|
| 7 |
MTGNN: Multi-Task Graph Neural Network based few-shot learning for disease similarity measurement
|
Gao, Jianliang
|
|
|
198 |
C |
p. 88-95
|
artikel
|
| 8 |
NetAUC: A network-based multi-biomarker identification method by AUC optimization
|
Li, Xing-Yi
|
|
|
198 |
C |
p. 56-64
|
artikel
|
| 9 |
Network-based approaches in bioinformatics and biomedicine
|
Cho, Young-Rae
|
|
|
198 |
C |
p. 1-2
|
artikel
|
| 10 |
Predicting CircRNA disease associations using novel node classification and link prediction models on Graph Convolutional Networks
|
Bamunu Mudiyanselage, Thosini
|
|
|
198 |
C |
p. 32-44
|
artikel
|
| 11 |
Prediction of coronary heart disease based on combined reinforcement multitask progressive time-series networks
|
Li, Wenqi
|
|
|
198 |
C |
p. 96-106
|
artikel
|
| 12 |
rPAC: Route based pathway analysis for cohorts of gene expression data sets
|
Joshi, Pujan
|
|
|
198 |
C |
p. 76-87
|
artikel
|
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