| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A comprehensive preanalytical protocol for fresh solid tumor biospecimens
|
Charania, Areesha A.
|
|
|
229 |
C |
p. 108-114
|
artikel
|
| 2 |
APLpred: A machine learning-based tool for accurate prediction and characterization of asparagine peptide lyases using sequence-derived optimal features
|
Malik, Adeel
|
|
|
229 |
C |
p. 133-146
|
artikel
|
| 3 |
Computational prediction of phosphorylation sites of SARS-CoV-2 infection using feature fusion and optimization strategies
|
Sabir, Mumdooh J.
|
|
|
229 |
C |
p. 1-8
|
artikel
|
| 4 |
Copper catalyzed cycloaddition for the synthesis of non isomerisable 2′ and 3′-regioisomers of arg-tRNAarg
|
Afandizada, Yusif
|
|
|
229 |
C |
p. 94-107
|
artikel
|
| 5 |
Design of a 1 × 4 micro-magnetic stimulation device and its targeted, coordinated regulation on LTP of Schaffer-CA1 in the hippocampus of rats
|
Zheng, Yu
|
|
|
229 |
C |
p. 49-60
|
artikel
|
| 6 |
DP-site: A dual deep learning-based method for protein-peptide interaction site prediction
|
Shafiee, Shima
|
|
|
229 |
C |
p. 17-29
|
artikel
|
| 7 |
Editorial Board
|
|
|
|
229 |
C |
p. ii
|
artikel
|
| 8 |
Editorial for methods special issue: Big data in digital health: methods, analysis and prospects
|
Chakraborti, Tapabrata
|
|
|
229 |
C |
p. 61-62
|
artikel
|
| 9 |
Efficient experimental method for purifying allergens from aqueous extracts
|
Sivill, S.
|
|
|
229 |
C |
p. 63-70
|
artikel
|
| 10 |
Hybrid multimodal fusion for graph learning in disease prediction
|
Wang, Ruomei
|
|
|
229 |
C |
p. 41-48
|
artikel
|
| 11 |
Identification of DNase I hypersensitive sites in the human genome by multiple sequence descriptors
|
Jin, Yan-Ting
|
|
|
229 |
C |
p. 125-132
|
artikel
|
| 12 |
Improved DiOlistic labelling technique for neurons in situ: Detailed visualisation of dendritic spines and concurrent histochemical-detection in fixed tissue
|
Bevan, Ryan J.
|
|
|
229 |
C |
p. 82-93
|
artikel
|
| 13 |
Machine learning-based prediction of diabetic patients using blood routine data
|
Li, Honghao
|
|
|
229 |
C |
p. 156-162
|
artikel
|
| 14 |
Methodological approaches to studying phase separation and HIV-1 replication: Current and future perspectives
|
Mouland, Andrew J.
|
|
|
229 |
C |
p. 147-155
|
artikel
|
| 15 |
MSO-GP: 3-D segmentation of large and complex conjoined tree structures
|
De, Arijit
|
|
|
229 |
C |
p. 9-16
|
artikel
|
| 16 |
Optimisation of Levilactobacillus brevis-fermented finger millet (Eleusine coracana) and evaluation of its effects on cancer cells (HCT116 and MDA-MB-231)
|
Kumar Mahanta, Sachin
|
|
|
229 |
C |
p. 30-40
|
artikel
|
| 17 |
PGCNMDA: Learning node representations along paths with graph convolutional network for predicting miRNA-disease associations
|
Chu, Shuang
|
|
|
229 |
C |
p. 71-81
|
artikel
|
| 18 |
RevGraphVAMP: A protein molecular simulation analysis model combining graph convolutional neural networks and physical constraints
|
Huang, Ying
|
|
|
229 |
C |
p. 163-174
|
artikel
|
| 19 |
scGAAC: A graph attention autoencoder for clustering single-cell RNA-sequencing data
|
Zhang, Lin
|
|
|
229 |
C |
p. 115-124
|
artikel
|
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