nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
AntiT2DMP-Pred: Leveraging feature fusion and optimization for superior machine learning prediction of type 2 diabetes mellitus
|
Basith, Shaherin |
|
|
234 |
C |
p. 264-274 |
artikel |
2 |
A roadmap to cysteine specific labeling of membrane proteins for single-molecule photobleaching studies
|
Ernst, Melanie |
|
|
234 |
C |
p. 21-35 |
artikel |
3 |
Artificial intelligence and computer-aided drug discovery: Methods development and application
|
Zhang, Haiping |
|
|
234 |
C |
p. 294-295 |
artikel |
4 |
BCDB: A dual-branch network based on transformer for predicting transcription factor binding sites
|
He, Jia |
|
|
234 |
C |
p. 141-151 |
artikel |
5 |
CHiTA: A scarless high-throughput pipeline for characterization of ribozymes
|
McKinley, Lauren N. |
|
|
234 |
C |
p. 120-130 |
artikel |
6 |
Cleaving the way for heterologous peptide production: An overview of cleavage strategies
|
Osiro, Karen Ofuji |
|
|
234 |
C |
p. 36-44 |
artikel |
7 |
Deep self-representation learning with hyper-laplacian regularization for brain imaging genetics association analysis
|
Liu, Jin-Xing |
|
|
234 |
C |
p. 333-341 |
artikel |
8 |
Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptides
|
Charoenkwan, Phasit |
|
|
234 |
C |
p. 131-140 |
artikel |
9 |
Design and characterization of hollow microneedles for localized intrascleral drug delivery of ocular formulations
|
Gade, Shilpkala |
|
|
234 |
C |
p. 196-210 |
artikel |
10 |
Editorial Board
|
|
|
|
234 |
C |
p. ii |
artikel |
11 |
Exploring drug-target interaction prediction on cold-start scenarios via meta-learning-based graph transformer
|
He, Chengxin |
|
|
234 |
C |
p. 10-20 |
artikel |
12 |
FedKD-CPI: Combining the federated knowledge distillation technique to accomplish synergistic compound-protein interaction prediction
|
Wang, Xuetao |
|
|
234 |
C |
p. 275-283 |
artikel |
13 |
Imaging flow cytometry reveals LPS-induced changes to intracellular intensity and distribution of α-synuclein in a TLR4-dependent manner in STC-1 cells
|
Gorecki, Anastazja M. |
|
|
234 |
C |
p. 93-111 |
artikel |
14 |
Inferring multi-slice spatially resolved gene expression from H&E-stained histology images with STMCL
|
Shi, Zhiceng |
|
|
234 |
C |
p. 187-195 |
artikel |
15 |
Innovative PBMC-derived humanized mouse model reveals CD8+ T cell-intrinsic regulation during antitumor immunity
|
Yan, Xiaojun |
|
|
234 |
C |
p. 286-293 |
artikel |
16 |
In silico identification of Histone Deacetylase inhibitors using Streamlined Masked Transformer-based Pretrained features
|
Vinh, Tuan |
|
|
234 |
C |
p. 1-9 |
artikel |
17 |
Integrated analyses of prognostic and immunotherapeutic significance of EZH2 in uveal melanoma
|
Li, Junfang |
|
|
234 |
C |
p. 242-252 |
artikel |
18 |
Lead-grouped multi-stage learning for myocardial infarction localization
|
Guo, Lin |
|
|
234 |
C |
p. 315-323 |
artikel |
19 |
Low friction hydrogel with diclofenac eluting ability for dry eye therapeutic contact lenses
|
Silva, Diana C. |
|
|
234 |
C |
p. 67-84 |
artikel |
20 |
Massively parallel flow-cytometry-based screening of hematopoietic lineage cell populations from up to 25 donors simultaneously
|
Devan, Jan |
|
|
234 |
C |
p. 45-53 |
artikel |
21 |
Microplate fluorescence quenching for high throughput screening of affinity constants – Serum albumins and zearalenones case study
|
Aðalsteinsson, Heiðar Már |
|
|
234 |
C |
p. 253-263 |
artikel |
22 |
MVSLLnc: LncRNA subcellular localization prediction based on multi-source features and two-stage voting strategy
|
Wang, Sheng |
|
|
234 |
C |
p. 324-332 |
artikel |
23 |
Nanotechnological approaches to improve corticosteroids ocular therapy
|
Formica, María Lina |
|
|
234 |
C |
p. 152-177 |
artikel |
24 |
Novel approaches to biomarker discover
|
McFarlin, Brian K. |
|
|
234 |
C |
p. 284-285 |
artikel |
25 |
Novel, standardized sample collection from the brain-nose interface
|
San Nicoló, Marion |
|
|
234 |
C |
p. 233-241 |
artikel |
26 |
Optimized biochemical method for human Polyphosphate quantification
|
Lázaro, Blanca |
|
|
234 |
C |
p. 211-222 |
artikel |
27 |
Pathophysiological characterization of the ApoE−/−;db/db mouse: A model of diabetes and atherosclerosis
|
Paniagua-Sancho, María |
|
|
234 |
C |
p. 223-232 |
artikel |
28 |
Predicting cyclins based on key features and machine learning methods
|
Wu, Cheng-Yan |
|
|
234 |
C |
p. 112-119 |
artikel |
29 |
Retraction notice to “A methodological framework for rigorous systematic reviews: Tailoring comprehensive analyses to clinicians and healthcare professionals” [Methods 225 (2024) 38–43]
|
Mancin, Stefano |
|
|
234 |
C |
p. 314 |
artikel |
30 |
SV-JIM, detailed pairwise structural variant calling using long-reads and genome assemblies
|
Todd, Clarence |
|
|
234 |
C |
p. 305-313 |
artikel |
31 |
Terahertz-based biosensors for biomedical applications: A review
|
Selvaraj, Meraline |
|
|
234 |
C |
p. 54-66 |
artikel |
32 |
Trans-m5C: A transformer-based model for predicting 5-methylcytosine (m5C) sites
|
Fu, Haitao |
|
|
234 |
C |
p. 178-186 |
artikel |
33 |
Validation of plasmonic-based biosensors for rapid and in depth characterization of monoclonal antibodies directed against rabbit haemorrhagic and foot-and-mouth disease viruses in biological samples
|
Urbinati, Chiara |
|
|
234 |
C |
p. 85-92 |
artikel |
34 |
Xenographic lenticule implantation followed by riboflavin and UV treatment: A promising alternative for corneal ectasias management
|
Vieira, Fernanda Aparecida Silva |
|
|
234 |
C |
p. 296-304 |
artikel |