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ORCIDEnrico Glaab
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2020 – today
- 2024
[j15]Cyril Brzenczek
, Quentin Klopfenstein, Tom Hähnel, Holger Fröhlich, Enrico Glaab, Geeta Acharya, Gloria Aguayo, Myriam Alexandre, Muhammad Ali, Wim Ammerlann, Giuseppe Arena, Michele Bassis, Roxane Batutu, Katy Beaumont, Sibylle Béchet, Guy Berchem, Alexandre Bisdorff, Ibrahim Boussaad, David Bouvier, Lorieza Castillo, Gessica Contesotto, Nancy De Bremaeker, Brian Dewitt, Nico Diederich, Rene Dondelinger, Nancy E. Ramia, Angelo Ferrari, Katrin Frauenknecht, Joëlle Fritz, Carlos Gamio, Manon Gantenbein, Piotr Gawron, Laura Georges, Soumyabrata Ghosh, Marijus Giraitis, Martine Goergen, Elisa Gómez de Lope, Jérôme Graas, Mariella Graziano, Valentin Groues, Anne Grünewald, Gaël Hammot, Anne-Marie Hanff, Linda Hansen, Michael Heneka, Estelle Henry, Margaux Henry, Sylvia Herbrink, Sascha Herzinger, Alexander Hundt, Nadine Jacoby, Sonja Jónsdóttir, Jochen Klucken, Olga Kofanova, Rejko Krüger, Pauline Lambert, Zied Landoulsi, Roseline Lentz, Ana Festas Lopes, Victoria Lorentz, Tainá M. Marques, Guilherme Marques, Patricia Martins Conde, Patrick May, Deborah Mcintyre, Chouaib Mediouni, Francoise Meisch, Alexia Mendibide, Myriam Menster, Maura Minelli, Michel Mittelbronn, Saïda Mtimet, Maeva Munsch, Romain Nati, Ulf Nehrbass, Sarah Nickels, Beatrice Nicolai, Jean-Paul Nicolay, Maria Fernanda Niño Uribe, Fozia Noor, Clarissa P. C. Gomes, Sinthuja Pachchek, Claire Pauly, Laure Pauly, Lukas Pavelka, Magali Perquin, Achilleas Pexaras, Armin Rauschenberger, Rajesh Rawal, Dheeraj Reddy Bobbili, Lucie Remark, Ilsé Richard, Olivia Roland, Kirsten Roomp, Eduardo Rosales, Stefano Sapienza, Venkata Satagopam, Sabine Schmitz, Reinhard Schneider, Jens Schwamborn, Raquel Severino, Amir Sharify, Ruxandra Soare, Ekaterina Soboleva, Kate Sokolowska, Maud Theresine, Hermann Thien, Elodie Thiry, Rebecca Ting Jiin Loo, Johanna Trouet, Olena Tsurkalenko, Michel Vaillant, Carlos Vega, Liliana Vilas Boas, Paul Wilmes, Evi Wollscheid-Lengeling, Gelani Zelimkhanov:
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. npj Digit. Medicine 7(1) (2024)- [i1]Elisa Gómez de Lope, Saurabh Deshpande, Ramón Viñas Torné, Pietro Liò, Enrico Glaab, Stéphane P. A. Bordas:
Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease. CoRR abs/2406.14442 (2024) - 2023
- [j14]Armin Rauschenberger, Zied Landoulsi, Mark A. van de Wiel, Enrico Glaab:
Penalized regression with multiple sources of prior effects. Bioinform. 39(12) (2023) - 2022
- [j13]Ramón Díaz-Uriarte, Elisa Gómez de Lope, Rosalba Giugno, Holger Fröhlich, Petr V. Nazarov, Isabel A. Nepomuceno-Chamorro, Armin Rauschenberger, Enrico Glaab:
Ten quick tips for biomarker discovery and validation analyses using machine learning. PLoS Comput. Biol. 18(8) (2022) - 2021
- [j12]Armin Rauschenberger, Enrico Glaab, Mark A. van de Wiel:
Predictive and interpretable models via the stacked elastic net. Bioinform. 37(14): 2012-2016 (2021) - [j11]Armin Rauschenberger, Enrico Glaab:
Predicting correlated outcomes from molecular data. Bioinform. 37(21): 3889-3895 (2021) - [j10]Enrico Glaab, Ganesh Babu Manoharan, Daniel Abankwa:
Pharmacophore Model for SARS-CoV-2 3CLpro Small-Molecule Inhibitors and in Vitro Experimental Validation of Computationally Screened Inhibitors. J. Chem. Inf. Model. 61(8): 4082-4096 (2021) - [j9]Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021)
2010 – 2019
- 2016
- [j8]Enrico Glaab:
Building a virtual ligand screening pipeline using free software: a survey. Briefings Bioinform. 17(2): 352-366 (2016) - [j7]Enrico Glaab:
Using prior knowledge from cellular pathways and molecular networks for diagnostic specimen classification. Briefings Bioinform. 17(3): 440-452 (2016) - 2015
- [j6]Enrico Glaab, Reinhard Schneider:
RepExplore: addressing technical replicate variance in proteomics and metabolomics data analysis. Bioinform. 31(13): 2235-2237 (2015) - 2012
- [j5]Enrico Glaab, Reinhard Schneider:
PathVar: analysis of gene and protein expression variance in cellular pathways using microarray data. Bioinform. 28(3): 446-447 (2012) - [j4]Enrico Glaab, Anaïs Baudot, Natalio Krasnogor, Reinhard Schneider, Alfonso Valencia:
EnrichNet: network-based gene set enrichment analysis. Bioinform. 28(18): 451-457 (2012) - 2011
- [b1]Enrico Glaab:
Analysing functional genomics data using novel ensemble, consensus and data fusion techniques. University of Nottingham, UK, 2011 - 2010
- [j3]Enrico Glaab, Anaïs Baudot, Natalio Krasnogor, Alfonso Valencia:
TopoGSA: network topological gene set analysis. Bioinform. 26(9): 1271-1272 (2010) - [j2]Enrico Glaab, Anaïs Baudot, Natalio Krasnogor, Alfonso Valencia:
Extending pathways and processes using molecular interaction networks to analyse cancer genome data. BMC Bioinform. 11: 597 (2010) - [c1]Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasnogor:
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples. GCB 2010: 123-134
2000 – 2009
- 2009
- [j1]Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasnogor:
ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization. BMC Bioinform. 10: 358 (2009)
Coauthor Index
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