日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

How negative sampling shapes the performance of transcription factor binding site prediction models

负采样如何影响转录因子结合位点预测模型的性能

Tourne, Natan; De Waele, Gaetan; Vermeirssen, Vanessa; Waegeman, Willem

Harnessing machine learning to predict antibiotic susceptibility in Pseudomonas aeruginosa biofilms

利用机器学习预测铜绿假单胞菌生物膜的抗生素敏感性

Vergauwe, Fauve; De Waele, Gaetan; Sass, Andrea; Highmore, Callum; Hanrahan, Niall; Cook, Yoshiki; Lichtenberg, Mads; Cnockaert, Margo; Vandamme, Peter; Mahajan, Sumeet; Webb, Jeremy S; Van Nieuwerburgh, Filip; Bjarnsholt, Thomas; Waegeman, Willem; Coenye, Tom

Evaluation of out-of-distribution detection methods for data shifts in single-cell transcriptomics

单细胞转录组学数据偏移的分布外检测方法评估

Theunissen, Lauren; Mortier, Thomas; Saeys, Yvan; Waegeman, Willem

Assessment of uncertainty quantification in universal differential equations

通用微分方程不确定性量化评估

Schmid, Nina; Fernandes Del Pozo, David; Waegeman, Willem; Hasenauer, Jan

A framework for tracing timber following the Ukraine invasion

乌克兰入侵后木材溯源框架

Mortier, Thomas; Truszkowski, Jakub; Norman, Marigold; Boner, Markus; Buliga, Bogdan; Chater, Caspar; Jennings, Henry; Saunders, Jade; Sibley, Rosie; Antonelli, Alexandre; Waegeman, Willem; Deklerck, Victor

Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study

基于机器学习的多发性硬化症残疾进展预测:一项观察性、国际、多中心研究

De Brouwer, Edward; Becker, Thijs; Werthen-Brabants, Lorin; Dewulf, Pieter; Iliadis, Dimitrios; Dekeyser, Cathérine; Laureys, Guy; Van Wijmeersch, Bart; Popescu, Veronica; Dhaene, Tom; Deschrijver, Dirk; Waegeman, Willem; De Baets, Bernard; Stock, Michiel; Horakova, Dana; Patti, Francesco; Izquierdo, Guillermo; Eichau, Sara; Girard, Marc; Prat, Alexandre; Lugaresi, Alessandra; Grammond, Pierre; Kalincik, Tomas; Alroughani, Raed; Grand'Maison, Francois; Skibina, Olga; Terzi, Murat; Lechner-Scott, Jeannette; Gerlach, Oliver; Khoury, Samia J; Cartechini, Elisabetta; Van Pesch, Vincent; Sà, Maria José; Weinstock-Guttman, Bianca; Blanco, Yolanda; Ampapa, Radek; Spitaleri, Daniele; Solaro, Claudio; Maimone, Davide; Soysal, Aysun; Iuliano, Gerardo; Gouider, Riadh; Castillo-Triviño, Tamara; Sánchez-Menoyo, José Luis; Laureys, Guy; van der Walt, Anneke; Oh, Jiwon; Aguera-Morales, Eduardo; Altintas, Ayse; Al-Asmi, Abdullah; de Gans, Koen; Fragoso, Yara; Csepany, Tunde; Hodgkinson, Suzanne; Deri, Norma; Al-Harbi, Talal; Taylor, Bruce; Gray, Orla; Lalive, Patrice; Rozsa, Csilla; McGuigan, Chris; Kermode, Allan; Sempere, Angel Pérez; Mihaela, Simu; Simo, Magdolna; Hardy, Todd; Decoo, Danny; Hughes, Stella; Grigoriadis, Nikolaos; Sas, Attila; Vella, Norbert; Moreau, Yves; Peeters, Liesbet

An antimicrobial drug recommender system using MALDI-TOF MS and dual-branch neural networks

基于MALDI-TOF MS和双分支神经网络的抗菌药物推荐系统

De Waele, Gaetan; Menschaert, Gerben; Waegeman, Willem

A comparison of embedding aggregation strategies in drug-target interaction prediction

药物靶点相互作用预测中嵌入聚合策略的比较

Iliadis, Dimitrios; De Baets, Bernard; Pahikkala, Tapio; Waegeman, Willem

Uncertainty-aware single-cell annotation with a hierarchical reject option

具有分层拒绝选项的感知不确定性的单细胞注释

Theunissen, Lauren; Mortier, Thomas; Saeys, Yvan; Waegeman, Willem

A red light-triggered chemical tool for sequence-specific alkylation of G-quadruplex and I-motif DNA

一种红光触发的化学工具,用于G-四链体和I-基序DNA的序列特异性烷基化。

Cadoni, Enrico; De Paepe, Lessandro; Colpaert, Gertjan; Tack, Ruben; Waegeman, Dries; Manicardi, Alex; Madder, Annemieke