Ghent University Academic Bibliography

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Leveraging a self-cleaving peptide for tailored control in proximity labeling proteomics

Louis Delhaye (UGent) , Georgios Moschonas (UGent) , Daria Fijalkowska (UGent) , Annick Verhee (UGent) , Delphine De Sutter (UGent) , Tessa Van de Steene (UGent) , Margaux De Meyer (UGent) , Hanna Grzesik (UGent) , Laura Van Moortel (UGent) , Karolien De Bosscher (UGent) , et al.

(2024) CELL REPORTS METHODS. 4(7).
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Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models

Francisco Carrillo-Perez, Marija Pizurica (UGent) , Michael G. Ozawa, Hannes Vogel, Robert B. West, Christina S. Kong, Luis Javier Herrera, Jeanne Shen and Olivier Gevaert

(2023) CELL REPORTS METHODS. 3(8).
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A robust pipeline for high-content, high-throughput immunophenotyping reveals age- and genetics-dependent changes in blood leukocytes

Thomas Liechti, Sofie Van Gassen (UGent) , Margaret Beddall, Reid Ballard, Yaser Iftikhar, Renguang Du, Thiagarajan Venkataraman, David Novák (UGent) , Massimo Mangino, Stephen Perfetto, et al.

(2023) CELL REPORTS METHODS. 3(10).
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Deep mutational scanning of proteins in mammalian cells

Stefanie Maes (UGent) , Nick Deploey (UGent) , Frank Peelman (UGent) and Sven Eyckerman (UGent)

(2023) CELL REPORTS METHODS. 3(11).
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Extracting functional insights from loss-of-function screens using deep link prediction

Pieter-Paul Strybol (UGent) , Maarten Larmuseau (UGent) , Louise de Schaetzen van Brienen (UGent) , Tim Van den Bulcke and Kathleen Marchal (UGent)

(2022) CELL REPORTS METHODS. 2(2).
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Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects

Koen Van den Berge (UGent) , Hsin-Jung Chou, Hector Roux de Bézieux, Kelly Street, Davide Risso, John Ngai and Sandrine Dudoit

(2022) CELL REPORTS METHODS. 2(11).

Academic Bibliography

Leveraging a self-cleaving peptide for tailored control in proximity labeling proteomics

Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models

A robust pipeline for high-content, high-throughput immunophenotyping reveals age- and genetics-dependent changes in blood leukocytes

Deep mutational scanning of proteins in mammalian cells

Extracting functional insights from loss-of-function screens using deep link prediction

Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects

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