| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A Deep Neural Network for Predicting Synergistic Drug Combinations on Cancer
|
Yan, Shiyu
|
|
|
16 |
1 |
p. 218-230
|
article
|
| 2 |
Application of Semi-supervised Fuzzy Clustering Based on Knowledge Weighting and Cluster Center Learning to Mammary Molybdenum Target Image Segmentation
|
Peng, Peng
|
|
|
16 |
1 |
p. 39-57
|
article
|
| 3 |
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction
|
Zhang, Yuqi
|
|
|
16 |
1 |
p. 58-72
|
article
|
| 4 |
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models
|
Tan, Sher Lyn
|
|
|
16 |
1 |
p. 16-38
|
article
|
| 5 |
Combining Global-Constrained Concept Factorization and a Regularized Gaussian Graphical Model for Clustering Single-Cell RNA-seq Data
|
Xu, Yaxin
|
|
|
16 |
1 |
p. 1-15
|
article
|
| 6 |
Comprehensive scRNA-seq Model Reveals Artery Endothelial Cell Heterogeneity and Metabolic Preference in Human Vascular Disease
|
Zeng, Liping
|
|
|
16 |
1 |
p. 104-122
|
article
|
| 7 |
Computer-Aided Diagnosis of Complications After Liver Transplantation Based on Transfer Learning
|
Zhang, Ying
|
|
|
16 |
1 |
p. 123-140
|
article
|
| 8 |
DCDA: CircRNA–Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder
|
Turgut, Hacer
|
|
|
16 |
1 |
p. 91-103
|
article
|
| 9 |
Drug Repositioning Based on Deep Sparse Autoencoder and Drug–Disease Similarity
|
Lei, Song
|
|
|
16 |
1 |
p. 160-175
|
article
|
| 10 |
Hessian Regularized L2,1-Nonnegative Matrix Factorization and Deep Learning for miRNA–Disease Associations Prediction
|
Han, Guo-Sheng
|
|
|
16 |
1 |
p. 176-191
|
article
|
| 11 |
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network
|
Wang, Xiaosong
|
|
|
16 |
1 |
p. 231-242
|
article
|
| 12 |
PPSNO: A Feature-Rich SNO Sites Predictor by Stacking Ensemble Strategy from Protein Sequence-Derived Information
|
Zhu, Lun
|
|
|
16 |
1 |
p. 192-217
|
article
|
| 13 |
The Dynamical Biomarkers in Functional Connectivity of Autism Spectrum Disorder Based on Dynamic Graph Embedding
|
Liu, Yanting
|
|
|
16 |
1 |
p. 141-159
|
article
|
| 14 |
Tumour Growth Mechanisms Determine Effectiveness of Adaptive Therapy in Glandular Tumours
|
Tan, Rui Zhen
|
|
|
16 |
1 |
p. 73-90
|
article
|
Journal description