Publications by authors named "Wesley De Neve"

Claim this Profile
I
Impact of U2-type introns on splice site prediction in A. thaliana species using deep learning.
Espoir Kabanga, Seonil Jee, Soeun Yun, Stephen Depuydt, Arnout Van Messem, Wesley De Neve

BMC Bioinformatics· November 2025

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
M
Multimodal machine learning for staging laparoscopy: a combined image analysis and morphologic tool for the discrimination of peritoneal metastasis.
Francesca Tozzi, Ho-Min Park, Seyed Amir Mousavi, Matthias Van Liefferinge, Dongin Moon, Wesley De Neve

Int J Surg· September 2025

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
D
Detecting soil-transmitted helminth and Schistosoma mansoni eggs in Kato-Katz stool smear microscopy images: A comprehensive in- and out-of-distribution evaluation of YOLOv7 variants.
Mohammed Aliy Mohammed, Esla Timothy Anzaku, Peter Kenneth Ward, Bruno Levecke, Janarthanan Krishnamoorthy, Wesley De Neve

PLoS Negl Trop Dis· July 2025

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
T
ToxDL 2.0: Protein toxicity prediction using a pretrained language model and graph neural networks.
Lin Zhu, Yi Fang, Shuting Liu, Hong-Bin Shen, Wesley De Neve

Comput Struct Biotechnol J· April 2025

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
Assessing the reliability of point mutation as data augmentation for deep learning with genomic data.
Hyunjung Lee, Utku Ozbulak, Homin Park, Stephen Depuydt, Wesley De Neve

BMC Bioinformatics· April 2024

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
T
Tryp: a dataset of microscopy images of unstained thick blood smears for trypanosome detection.
Esla Timothy Anzaku, Mohammed Aliy Mohammed, Utku Ozbulak, Jongbum Won, Hyesoo Hong, Wesley De Neve

Sci Data· October 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
M
Mutate and observe: utilizing deep neural networks to investigate the impact of mutations on translation initiation.
Utku Ozbulak, Hyun Jung Lee, Jasper Zuallaert, Wesley De Neve, Stephen Depuydt

Bioinformatics· June 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins.
Ho-Min Park, Jongbum Won, Yunseol Park, Esla Timothy Anzaku, Joris Vankerschaver, Wesley De Neve

BMC Bioinformatics· April 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
Author Correction: Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transit.
Morgane Boone, Pathmanaban Ramasamy, Jasper Zuallaert, Robbin Bouwmeester, Berre Van Moer, Wesley De Neve

Nat Commun· February 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
I
In silico optimization of RNA-protein interactions for CRISPR-Cas13-based antimicrobials.
Ho-Min Park, Yunseol Park, Urta Berani, Eunkyu Bang, Joris Vankerschaver, Wesley De Neve

Biol Direct· October 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
M
MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams.
Ho-Min Park, Sanghyeon Park, Maria Krishna de Guzman, Ji Yeon Baek, Tanja Cirkovic Velickovic, Wesley De Neve

PLoS One· June 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
R
Rethinking Protein Drug Design with Highly Accurate Structure Prediction of Anti-CRISPR Proteins.
Ho-Min Park, Yunseol Park, Joris Vankerschaver, Arnout Van Messem, Wesley De Neve

Pharmaceuticals (Basel)· March 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
M
Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transit.
Morgane Boone, Pathmanaban Ramasamy, Jasper Zuallaert, Robbin Bouwmeester, Berre Van Moer, Wesley De Neve

Nat Commun· November 2021

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
T
ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicity.
Xiaoyong Pan, Jasper Zuallaert, Xi Wang, Hong-Bin Shen, Elda Posada Campos, Wesley De Neve

Bioinformatics· January 2021

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
R
Restricted Boltzmann Machines for Quantum States with Non-Abelian or Anyonic Symmetries.
Tom Vieijra, Corneel Casert, Jannes Nys, Wesley De Neve, Jutho Haegeman

Phys Rev Lett· March 2020

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
E
Electrochromic Photodetectors: Toward Smarter Glasses and Nano Reflective Displays via an Electrolytic Mechanism.
Zhenyin Hai, Mohammad Karbalaei Akbari, Zihan Wei, Jasper Zuallaert, Wesley De Neve

ACS Appl Mater Interfaces· August 2019

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
S
SpliceRover: interpretable convolutional neural networks for improved splice site prediction.
Jasper Zuallaert, Fréderic Godin, Mijung Kim, Arne Soete, Yvan Saeys, Wesley De Neve

Bioinformatics· December 2018

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
AQUa: an adaptive framework for compression of sequencing quality scores with random access functionality.
Tom Paridaens, Glenn Van Wallendael, Wesley De Neve, Peter Lambert

Bioinformatics· February 2018

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
AFRESh: an adaptive framework for compression of reads and assembled sequences with random access functionality.
Tom Paridaens, Glenn Van Wallendael, Wesley De Neve, Peter Lambert

Bioinformatics· May 2017

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis