nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A model for predicting ncRNA–protein interactions based on graph neural networks and community detection
|
Zhuo, Linlin |
|
|
207 |
C |
p. 74-80 |
artikel |
2 |
An interpretable deep learning model for classifying adaptor protein complexes from sequence information
|
Kha, Quang-Hien |
|
|
207 |
C |
p. 90-96 |
artikel |
3 |
A Novel Multi-view Bi-clustering method for identifying abnormal Co-occurrence medical visit behaviors
|
Guo, Yu-Bing |
|
|
207 |
C |
p. 65-73 |
artikel |
4 |
AntiMF: A deep learning framework for predicting anticancer peptides based on multi-view feature extraction
|
Liu, Jingjing |
|
|
207 |
C |
p. 38-43 |
artikel |
5 |
A pseudo-Siamese framework for circRNA-RBP binding sites prediction integrating BiLSTM and soft attention mechanism
|
Guo, Yajing |
|
|
207 |
C |
p. 57-64 |
artikel |
6 |
Detection and quantification of nanoparticle-induced intracellular ROS in live cells by laser scanning confocal microscopy
|
Amaldoss, Maria John Newton |
|
|
207 |
C |
p. 11-19 |
artikel |
7 |
Editorial Board
|
|
|
|
207 |
C |
p. ii |
artikel |
8 |
Guide to studying intrinsically disordered proteins by high-speed atomic force microscopy
|
Kodera, Noriyuki |
|
|
207 |
C |
p. 44-56 |
artikel |
9 |
Identification of DNA-binding proteins via Multi-view LSSVM with independence criterion
|
Zhao, Shulin |
|
|
207 |
C |
p. 29-37 |
artikel |
10 |
Machine learning based identification of hub genes in renal clear cell carcinoma using multi-omics data
|
Zhang, Lichao |
|
|
207 |
C |
p. 110-117 |
artikel |
11 |
MultiscaleDTA: A multiscale-based method with a self-attention mechanism for drug-target binding affinity prediction
|
Chen, Haoyang |
|
|
207 |
C |
p. 103-109 |
artikel |
12 |
Next steps in transcriptomics: Understanding RNA modifications at a genomic scale
|
Accornero, Federica |
|
|
207 |
C |
p. 1-2 |
artikel |
13 |
PENet: Prior evidence deep neural network for bladder cancer staging
|
Zhou, Xiaoqian |
|
|
207 |
C |
p. 20-28 |
artikel |
14 |
Predicting miRNA-lncRNA interactions on plant datasets based on bipartite network embedding method
|
Zhuo, Linlin |
|
|
207 |
C |
p. 97-102 |
artikel |
15 |
Profiling cell-type specific gene expression in post-mortem human brain samples through laser capture microdissection
|
Almeida, Daniel |
|
|
207 |
C |
p. 3-10 |
artikel |
16 |
Toward drug-miRNA resistance association prediction by positional encoding graph neural network and multi-channel neural network
|
Zhao, Chengshuai |
|
|
207 |
C |
p. 81-89 |
artikel |