Ghent University Academic Bibliography

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Challenges in translational machine learning

Artuur Couckuyt (UGent) , Ruth Seurinck (UGent) , Annelies Emmaneel (UGent) , Katrien Quintelier (UGent) , David Novák (UGent) , Sofie Van Gassen (UGent) and Yvan Saeys (UGent)

(2022) HUMAN GENETICS. 141. p.1451-1466
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PeacoQC : peak-based selection of high quality cytometry data

Annelies Emmaneel (UGent) , Katrien Quintelier (UGent) , Dorine Sichien (UGent) , Paulina Rybakowska, Concepcion Maranon, Marta E. Alarcon-Riquelme, Gert Van Isterdael (UGent) , Sofie Van Gassen (UGent) and Yvan Saeys (UGent)

(2022) CYTOMETRY PART A. 101(4). p.325-338
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High dimensional profiling identifies specific immune types along the recovery trajectories of critically ill COVID19 patients

P. A. Penttila, Sofie Van Gassen (UGent) , D. Panovska, L. Vanderbeke, Y. Van Herck, Katrien Quintelier (UGent) , Annelies Emmaneel (UGent) , J. Filtjens, B. Malengier-Devlies, K. Ahmadzadeh, et al.

(2021) CELLULAR AND MOLECULAR LIFE SCIENCES. 78(8). p.3987-4002
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Data processing workflow for large-scale immune monitoring studies by mass cytometry

Paulina Rybakowska, Sofie Van Gassen (UGent) , Katrien Quintelier (UGent) , Yvan Saeys (UGent) , Marta E. Alarcón-Riquelme and Concepción Marañón

(2021) COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL. 19. p.3160-3175
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Analyzing high-dimensional cytometry data using FlowSOM

Katrien Quintelier (UGent) , Artuur Couckuyt (UGent) , Annelies Emmaneel (UGent) , Joachim Aerts, Yvan Saeys (UGent) and Sofie Van Gassen (UGent)

(2021) NATURE PROTOCOLS. 16(8). p.3775-3801
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Monocyte-driven atypical cytokine storm and aberrant neutrophil activation as key mediators of COVID-19 disease severity

L. Vanderbeke, P. Van Mol, Y. Van Herck, F. De Smet, S. Humblet-Baron, K. Martinod, A. Antoranz, I. Arijs, B. Boeckx, F. M. Bosisio, et al.

(2021) NATURE COMMUNICATIONS. 12(1).

Academic Bibliography

Challenges in translational machine learning

PeacoQC : peak-based selection of high quality cytometry data

High dimensional profiling identifies specific immune types along the recovery trajectories of critically ill COVID19 patients

Data processing workflow for large-scale immune monitoring studies by mass cytometry

Analyzing high-dimensional cytometry data using FlowSOM

Monocyte-driven atypical cytokine storm and aberrant neutrophil activation as key mediators of COVID-19 disease severity

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