nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
An in silico pipeline for the discovery of multitarget ligands: A case study for epi-polypharmacology based on DNMT1/HDAC2 inhibition
|
Prieto-Martínez, Fernando D. |
|
|
1 |
C |
p. |
artikel |
2 |
AutoGenome: An AutoML tool for genomic research
|
Liu, Denghui |
|
|
1 |
C |
p. |
artikel |
3 |
AutoGGN: A gene graph network AutoML tool for multi-omics research
|
Zhang, Lei |
|
|
1 |
C |
p. |
artikel |
4 |
AutoOmics: New multimodal approach for multi-omics research
|
Xu, Chi |
|
|
1 |
C |
p. |
artikel |
5 |
BeeToxAI: An artificial intelligence-based web app to assess acute toxicity of chemicals to honey bees
|
Moreira-Filho, José T. |
|
|
1 |
C |
p. |
artikel |
6 |
Can deep learning revolutionize clinical understanding and diagnosis of optic neuropathy?
|
Subramaniam, Mohana Devi |
|
|
1 |
C |
p. |
artikel |
7 |
Chemistry-centric explanation of machine learning models
|
Rodríguez-Pérez, Raquel |
|
|
1 |
C |
p. |
artikel |
8 |
Combinatorial analytics: An essential tool for the delivery of precision medicine and precision agriculture
|
Gardner, Steve |
|
|
1 |
C |
p. |
artikel |
9 |
Computational prediction of frequent hitters in target-based and cell-based assays
|
Stork, Conrad |
|
|
1 |
C |
p. |
artikel |
10 |
Current status of active learning for drug discovery
|
Yu, Jie |
|
|
1 |
C |
p. |
artikel |
11 |
Dealing with a data-limited regime: Combining transfer learning and transformer attention mechanism to increase aqueous solubility prediction performance
|
Wiercioch, Magdalena |
|
|
1 |
C |
p. |
artikel |
12 |
Editorial Board
|
|
|
|
1 |
C |
p. |
artikel |
13 |
Fast-bonito: A faster deep learning based basecaller for nanopore sequencing
|
Xu, Zhimeng |
|
|
1 |
C |
p. |
artikel |
14 |
Fiscore package: Effective protein structural data visualisation and exploration
|
Kanapeckaite, Auste |
|
|
1 |
C |
p. |
artikel |
15 |
Identification of bile salt export pump inhibitors using machine learning: Predictive safety from an industry perspective
|
Rodríguez-Pérez, Raquel |
|
|
1 |
C |
p. |
artikel |
16 |
Introducing artificial intelligence in the life sciences
|
Zheng, Mingyue |
|
|
1 |
C |
p. |
artikel |
17 |
Iterative DeepSARM modeling for compound optimization
|
Yoshimori, Atsushi |
|
|
1 |
C |
p. |
artikel |
18 |
Learning functional group chemistry from molecular images leads to accurate prediction of activity cliffs
|
Iqbal, Javed |
|
|
1 |
C |
p. |
artikel |
19 |
Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases
|
Linden, Thomas |
|
|
1 |
C |
p. |
artikel |
20 |
Machine learning in agriculture domain: A state-of-art survey
|
Meshram, Vishal |
|
|
1 |
C |
p. |
artikel |
21 |
Maxsmi: Maximizing molecular property prediction performance with confidence estimation using SMILES augmentation and deep learning
|
Kimber, Talia B. |
|
|
1 |
C |
p. |
artikel |
22 |
Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals
|
Silva, Arthur C. |
|
|
1 |
C |
p. |
artikel |
23 |
OmicInt package: Exploring omics data and regulatory networks using integrative analyses and machine learning
|
Kanapeckaite, Auste |
|
|
1 |
C |
p. |
artikel |
24 |
Quantifying sources of uncertainty in drug discovery predictions with probabilistic models
|
Lazic, Stanley E. |
|
|
1 |
C |
p. |
artikel |
25 |
Reproducibility, reusability, and community efforts in artificial intelligence research
|
Bajorath, Jürgen |
|
|
1 |
C |
p. |
artikel |
26 |
Second-generation artificial intelligence approaches for life science research
|
Bajorath, Jürgen |
|
|
1 |
C |
p. |
artikel |
27 |
Signal Detection in Pharmacovigilance: A Review of Informatics-driven Approaches for the Discovery of Drug-Drug Interaction Signals in Different Data Sources
|
Ibrahim, Heba |
|
|
1 |
C |
p. |
artikel |
28 |
The development trend of artificial intelligence in medical: A patentometric analysis
|
Xin, Yang |
|
|
1 |
C |
p. |
artikel |