| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Visual Phenotype-Based Differential Diagnosis Process for Rare Diseases
|
Yang, Jian
|
|
|
14 |
2 |
p. 331-348
|
artikel
|
| 2 |
Brain Tumor Detection and Classification Using Cycle Generative Adversarial Networks
|
Gupta, Rajeev Kumar
|
|
|
14 |
2 |
p. 485-502
|
artikel
|
| 3 |
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning
|
Chadaga, Krishnaraj
|
|
|
14 |
2 |
p. 452-470
|
artikel
|
| 4 |
CNNLSTMac4CPred: A Hybrid Model for N4-Acetylcytidine Prediction
|
Zhang, Guiyang
|
|
|
14 |
2 |
p. 439-451
|
artikel
|
| 5 |
Consistent Clustering Pattern of Prokaryotic Genes Based on Base Frequency at the Second Codon Position and its Association with Functional Category Preference
|
Jin, Yan-Ting
|
|
|
14 |
2 |
p. 349-357
|
artikel
|
| 6 |
Correction to: Brain Tumor Detection and Classification Using Cycle Generative Adversarial Networks
|
Gupta, Rajeev Kumar
|
|
|
14 |
2 |
p. 503
|
artikel
|
| 7 |
DeepStack-DTIs: Predicting Drug–Target Interactions Using LightGBM Feature Selection and Deep-Stacked Ensemble Classifier
|
Zhang, Yan
|
|
|
14 |
2 |
p. 311-330
|
artikel
|
| 8 |
Development of Electrochemical Biosensor for miR204-Based Cancer Diagnosis
|
Gundagatti, Shilpa
|
|
|
14 |
2 |
p. 596-606
|
artikel
|
| 9 |
DNRLCNN: A CNN Framework for Identifying MiRNA–Disease Associations Using Latent Feature Matrix Extraction with Positive Samples
|
Zhong, Jiancheng
|
|
|
14 |
2 |
p. 607-622
|
artikel
|
| 10 |
Dual Attention Mechanisms and Feature Fusion Networks Based Method for Predicting LncRNA-Disease Associations
|
Liu, Yu
|
|
|
14 |
2 |
p. 358-371
|
artikel
|
| 11 |
Enabling Artificial Intelligence for Genome Sequence Analysis of COVID-19 and Alike Viruses
|
Ahmed, Imran
|
|
|
14 |
2 |
p. 504-519
|
artikel
|
| 12 |
Feature Generalization for Breast Cancer Detection in Histopathological Images
|
Das, Rik
|
|
|
14 |
2 |
p. 566-581
|
artikel
|
| 13 |
FSCAM: CAM-Based Feature Selection for Clustering scRNA-seq
|
Wang, Yan
|
|
|
14 |
2 |
p. 394-408
|
artikel
|
| 14 |
FTWSVM-SR: DNA-Binding Proteins Identification via Fuzzy Twin Support Vector Machines on Self-Representation
|
Zou, Yi
|
|
|
14 |
2 |
p. 372-384
|
artikel
|
| 15 |
HODD: A Manually Curated Database of Human Ophthalmic Diseases with Symptom Characteristics and Genetic Variants Towards Facilitating Quick and Definite Diagnosis
|
Zhang, Zhaotian
|
|
|
14 |
2 |
p. 385-393
|
artikel
|
| 16 |
IDDLncLoc: Subcellular Localization of LncRNAs Based on a Framework for Imbalanced Data Distributions
|
Wang, Yan
|
|
|
14 |
2 |
p. 409-420
|
artikel
|
| 17 |
In silico Methods for Identification of Potential Therapeutic Targets
|
Zhang, Xuting
|
|
|
14 |
2 |
p. 285-310
|
artikel
|
| 18 |
Multi-feature Fusion Method Based on Linear Neighborhood Propagation Predict Plant LncRNA–Protein Interactions
|
Jia, Lijuan
|
|
|
14 |
2 |
p. 545-554
|
artikel
|
| 19 |
Multiple Protein Subcellular Locations Prediction Based on Deep Convolutional Neural Networks with Self-Attention Mechanism
|
Cong, Hanhan
|
|
|
14 |
2 |
p. 421-438
|
artikel
|
| 20 |
RicENN: Prediction of Rice Enhancers with Neural Network Based on DNA Sequences
|
Gao, Yujia
|
|
|
14 |
2 |
p. 555-565
|
artikel
|
| 21 |
Sex Differences of Cerebellum and Cerebrum: Evidence from Graph Convolutional Network
|
Gao, Yang
|
|
|
14 |
2 |
p. 532-544
|
artikel
|
| 22 |
tensorGSEA: Detecting Differential Pathways in Type 2 Diabetes via Tensor-Based Data Reconstruction
|
Qiao, Xu
|
|
|
14 |
2 |
p. 520-531
|
artikel
|
| 23 |
U-shaped Retinal Vessel Segmentation Based on Adaptive Aggregation of Feature Information
|
Liang, Liming
|
|
|
14 |
2 |
p. 623-637
|
artikel
|
| 24 |
Visualizing a Field of Research for the Coronavirus Replication in Humans with Knowledge Mapping: Evidence from Web of Science
|
Liang, Hanyuan
|
|
|
14 |
2 |
p. 471-484
|
artikel
|
| 25 |
Vulture-Based AdaBoost-Feedforward Neural Frame Work for COVID-19 Prediction and Severity Analysis System
|
Mary, S. Roselin
|
|
|
14 |
2 |
p. 582-595
|
artikel
|
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