Thomas Moerman
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View article: Improving Fuzzy Match Augmented Neural Machine Translation in Specialised Domains through Synthetic Data
Improving Fuzzy Match Augmented Neural Machine Translation in Specialised Domains through Synthetic Data Open
Previous studies have demonstrated the effectiveness of fuzzy match (FM) augmentation in improving the performance of Neural Machine Translation (NMT) models. However, this approach exhibits limitations when applied to scenarios where limi…
View article: Spatially aware clustering of ion images in mass spectrometry imaging data using deep learning
Spatially aware clustering of ion images in mass spectrometry imaging data using deep learning Open
Computational analysis is crucial to capitalize on the wealth of spatio-molecular information generated by mass spectrometry imaging (MSI) experiments. Currently, the spatial information available in MSI data is often under-utilized, due t…
View article: Spatially-Aware Clustering of Ion Images in Mass Spectrometry Imaging Data Using Deep Learning
Spatially-Aware Clustering of Ion Images in Mass Spectrometry Imaging Data Using Deep Learning Open
Computational analysis is crucial to capitalize on the wealth of spatio-molecular information generated by mass spectrometry imaging (MSI) experiments. Currently, the spatial information available in MSI data is often under-utilized, due t…
View article: A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain
A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain Open
View article: A single-cell catalogue of regulatory states in the ageing <i>Drosophila</i> brain
A single-cell catalogue of regulatory states in the ageing <i>Drosophila</i> brain Open
Summary The diversity of cell types and regulatory states in the brain, and how these change during ageing, remains largely unknown. Here, we present a single-cell transcriptome catalogue of the entire adult Drosophila melanogaster brain s…
View article: SCENIC: single-cell regulatory network inference and clustering
SCENIC: single-cell regulatory network inference and clustering Open
View article: SCENIC: Single-cell regulatory network inference and clustering
SCENIC: Single-cell regulatory network inference and clustering Open
Single-cell RNA-seq allows building cell atlases of any given tissue and infer the dynamics of cellular state transitions during developmental or disease trajectories. Both the maintenance and transitions of cell states are encoded by regu…