| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Cell Features Reconstruction from Gene Association Network of Single Cell
|
Xu, Qingguo
|
|
|
15 |
2 |
p. 202-216
|
artikel
|
| 2 |
Deep Learning-Based Modeling of Drug–Target Interaction Prediction Incorporating Binding Site Information of Proteins
|
D’Souza, Sofia
|
|
|
15 |
2 |
p. 306-315
|
artikel
|
| 3 |
Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images
|
Hassan, Mehdi
|
|
|
15 |
2 |
p. 273-292
|
artikel
|
| 4 |
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach
|
Yin, Jin
|
|
|
15 |
2 |
p. 262-272
|
artikel
|
| 5 |
DNA Sequence Optimization Design of Arithmetic Optimization Algorithm Based on Billiard Hitting Strategy
|
Xie, Linpeng
|
|
|
15 |
2 |
p. 231-248
|
artikel
|
| 6 |
iDHS-FFLG: Identifying DNase I Hypersensitive Sites by Feature Fusion and Local–Global Feature Extraction Network
|
Wang, Lei-Shan
|
|
|
15 |
2 |
p. 155-170
|
artikel
|
| 7 |
LBCE-XGB: A XGBoost Model for Predicting Linear B-Cell Epitopes Based on BERT Embeddings
|
Liu, Yufeng
|
|
|
15 |
2 |
p. 293-305
|
artikel
|
| 8 |
LRT-CLUSTER: A New Clustering Algorithm Based on Likelihood Ratio Test to Identify Driving Genes
|
Quan, Chenxu
|
|
|
15 |
2 |
p. 217-230
|
artikel
|
| 9 |
MSResG: Using GAE and Residual GCN to Predict Drug–Drug Interactions Based on Multi-source Drug Features
|
Guo, Lin
|
|
|
15 |
2 |
p. 171-188
|
artikel
|
| 10 |
Predicting Drug Synergy and Discovering New Drug Combinations Based on a Graph Autoencoder and Convolutional Neural Network
|
Li, Huijun
|
|
|
15 |
2 |
p. 316-330
|
artikel
|
| 11 |
Predicting Potential Drug–Disease Associations Based on Hypergraph Learning with Subgraph Matching
|
Wang, Yuanxu
|
|
|
15 |
2 |
p. 249-261
|
artikel
|
| 12 |
sORFPred: A Method Based on Comprehensive Features and Ensemble Learning to Predict the sORFs in Plant LncRNAs
|
Chen, Ziwei
|
|
|
15 |
2 |
p. 189-201
|
artikel
|
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