| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Advances in the exact nuclear Overhauser effect 2018–2022
|
Hussain, Alya
|
|
|
206 |
C |
p. 87-98
|
artikel
|
| 2 |
ATRANET – Automated generation of transition networks for the structural characterization of intrinsically disordered proteins
|
Schäffler, Moritz
|
|
|
206 |
C |
p. 18-26
|
artikel
|
| 3 |
Automated filtering of genome-wide large deletions through an ensemble deep learning framework
|
Hu, Yunfei
|
|
|
206 |
C |
p. 77-86
|
artikel
|
| 4 |
Bioinformatics resources for understanding RNA modifications
|
Meng, Jia
|
|
|
206 |
C |
p. 53-55
|
artikel
|
| 5 |
Computational methods and strategies for combating COVID-19
|
Basu, Subhadip
|
|
|
206 |
C |
p. 99-100
|
artikel
|
| 6 |
Editorial Board
|
|
|
|
206 |
C |
p. ii
|
artikel
|
| 7 |
Fluorescent turn-on sensing of albumin proteins (BSA and ovalbumin) using vitamin B6 cofactor derived Schiff base
|
Dhanshri, Sonkeshriya
|
|
|
206 |
C |
p. 69-76
|
artikel
|
| 8 |
GCHN-DTI: Predicting drug-target interactions by graph convolution on heterogeneous networks
|
Wang, Wei
|
|
|
206 |
C |
p. 101-107
|
artikel
|
| 9 |
Guide for starting or optimizing a 3D printing clinical service
|
Ganapathy, Aravinda
|
|
|
206 |
C |
p. 41-52
|
artikel
|
| 10 |
Machine learning-enabled optimization of extrusion-based 3D printing
|
Rahmani Dabbagh, Sajjad
|
|
|
206 |
C |
p. 27-40
|
artikel
|
| 11 |
Machine learning for health and clinical applications
|
Zhang, Yuan
|
|
|
206 |
C |
p. 56-57
|
artikel
|
| 12 |
Methods for biomaterials printing: A short review and perspective
|
Shokrani, Hanieh
|
|
|
206 |
C |
p. 1-7
|
artikel
|
| 13 |
NMR-based isotope editing, chemoselection and isotopomer distribution analysis in stable isotope resolved metabolomics
|
Lin, Penghui
|
|
|
206 |
C |
p. 8-17
|
artikel
|
| 14 |
Optimization of specific RNA knockdown in mammalian cells with CRISPR-Cas13
|
Burris, Brandon Joseph Davis
|
|
|
206 |
C |
p. 58-68
|
artikel
|
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