Peter Rubbens - Ghent University, KERMIT

基本信息

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职业迁徙

个人简介

Peter Rubbens currently works as a data scientist at Kytos. His research is centered around the development of predictive workflows for the identification of microbial communities using single-cell technologies.

研究兴趣

论文共 27 篇作者统计合作学者相似作者

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Real-Time Flow Cytometry to Assess Qualitative and Quantitative Responses of Oral Pathobionts During Exposure to Antiseptics

I. Chatzigiannidou,J. Heyse,R. Props,P. Rubbens, F. Mermans,W. Teughels,T. van de Wiele, N. Boon

MICROBIOLOGY SPECTRUM（2024）

引用0浏览0WOS引用

Machine Learning in Marine Ecology: an Overview of Techniques and Applications

Peter Rubbens,Stephanie Brodie,Tristan Cordier,Diogo Destro Barcellos,Paul Devos,Jose A. Fernandes‐Salvador,Jennifer I Fincham, Alessandra Rodrigues Gomes,Nils Olav Handegard,Kerry L. Howell,Cédric Jamet, Kyrre Heldal Kartveit,Hassan Moustahfid, Clea Parcerisas,Dimitris V. Politikos,Raphaëlle Sauzède,Maria Sokolova,Laura Uusitalo,Laure Van den Bulcke,A.T.M. van Helmond,Jordan T. Watson,Heather Welch, Oscar Dario Beltran-Pérez,Samuel Chaffron,David S. Greenberg, Bernhard Kühn,Rainer Kiko, Martin W. Lo,Rubens M. Lopes,Klas Ove Möller,William Michaels,Ahmet Pala,Jean‐Baptiste Romagnan, Pia Schuchert,Vahid Seydi,Sebastián Villasante,Ketil Malde,Jean‐Olivier Irisson

ICES journal of marine scienceno. 7 (2023): 1829-1853

引用2浏览0引用

Computational Analysis of Microbial Flow Cytometry Data

Peter Rubbens,Ruben Props

MSystemsno. 1 (2021)

引用0浏览0引用

Predicting the Presence and Abundance of Bacterial Taxa in Environmental Communities Through Flow Cytometric Fingerprinting

Jasmine Heyse,Florian Schattenberg,Peter Rubbens,Susann Mueller,Willem Waegeman,Nico Boon,Ruben Props

doaj（2021）

引用4浏览0WOS引用

PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community Structure

Peter Rubbens,Ruben Props,Frederiek-Maarten Kerckhof,Nico Boon,Willem Waegeman

MSPHERE（2021）

引用16浏览0WOS引用

Fast Pathogen Identification Using Single-Cell Matrix-Assisted Laser Desorption/Ionization-Aerosol Time-of-Flight Mass Spectrometry Data and Deep Learning Methods

Christina Papagiannopoulou,Rene Parchen,Peter Rubbens,Willem Waegeman

Analytical chemistry（2020）

引用29浏览0WOS引用

Discriminating Bacterial Phenotypes at the Population and Single-Cell Level: A Comparison of Flow Cytometry and Raman Spectroscopy Fingerprinting

Cristina Garcia-Timermans,Peter Rubbens,Jasmine Heyse,Frederiek-Maarten Kerckhof,Ruben Props,Andre G. Skirtach,Willem Waegeman,Nico Boon

CYTOMETRY PART A（2020）

引用2浏览0WOS引用

PhenoGMM: Gaussian mixture modelling of microbial cytometry data enables efficient predictions of biodiversity

Peter Rubbens,Ruben Props,Frederiek-Maarten Kerckhof,Nico Boon,Willem Waegeman

mSphere（2020）

引用1浏览0引用

Predicting Microbial Biodiversity Using Flow Cytometry and 16S Rrna Gene Amplicon Sequencing

Peter Rubbens,Ruben Props,Frederiek‐Maarten Kerckhof, Nico Boon,Willem Waegeman

Communications in agricultural and applied biological sciences（2019）

引用23浏览0引用

Cytometric fingerprints of gut microbiota predict Crohn’s disease state

Peter Rubbens,Ruben Props,Frederiek-Maarten Kerckhof,Nico Boon,Willem Waegeman

The ISME Journal（2019）

引用20浏览0WOSNATURE引用

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