Using machine learning approaches for multi-omics data analysis: A review
Reel, Parminder S., Reel, Smarti, Pearson, Ewan, Trucco, Emanuele, Jefferson, Emily
Published in Biotechnology advances (01.07.2021)
Published in Biotechnology advances (01.07.2021)
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Journal Article
Predicting Hypertension Subtypes with Machine Learning Using Targeted Metabolites and Their Ratios
Reel, Smarti, Reel, Parminder S., Erlic, Zoran, Amar, Laurence, Pecori, Alessio, Larsen, Casper K., Tetti, Martina, Pamporaki, Christina, Prehn, Cornelia, Adamski, Jerzy, Prejbisz, Aleksander, Ceccato, Filippo, Scaroni, Carla, Kroiss, Matthias, Dennedy, Michael C., Deinum, Jaap, Eisenhofer, Graeme, Langton, Katharina, Mulatero, Paolo, Reincke, Martin, Rossi, Gian Paolo, Lenzini, Livia, Davies, Eleanor, Gimenez-Roqueplo, Anne-Paule, Assié, Guillaume, Blanchard, Anne, Zennaro, Maria-Christina, Beuschlein, Felix, Jefferson, Emily R.
Published in Metabolites (01.08.2022)
Published in Metabolites (01.08.2022)
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Journal Article
Whole blood methylome-derived features to discriminate endocrine hypertension
Armignacco, Roberta, Reel, Parminder S., Reel, Smarti, Jouinot, Anne, Septier, Amandine, Gaspar, Cassandra, Perlemoine, Karine, Larsen, Casper K., Bouys, Lucas, Braun, Leah, Riester, Anna, Kroiss, Matthias, Bonnet-Serrano, Fidéline, Amar, Laurence, Blanchard, Anne, Gimenez-Roqueplo, Anne-Paule, Prejbisz, Aleksander, Januszewicz, Andrzej, Dobrowolski, Piotr, Davies, Eleanor, MacKenzie, Scott M., Rossi, Gian Paolo, Lenzini, Livia, Ceccato, Filippo, Scaroni, Carla, Mulatero, Paolo, Williams, Tracy A., Pecori, Alessio, Monticone, Silvia, Beuschlein, Felix, Reincke, Martin, Zennaro, Maria-Christina, Bertherat, Jérôme, Jefferson, Emily, Assié, Guillaume
Published in Clinical epigenetics (03.11.2022)
Published in Clinical epigenetics (03.11.2022)
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Journal Article
A Meta-Analysis of the Genome-Wide Association Studies on Two Genetically Correlated Phenotypes Suggests Four New Risk Loci for Headaches
Meng, Weihua, Reel, Parminder S., Nangia, Charvi, Rajendrakumar, Aravind Lathika, Hebert, Harry L., Guo, Qian, Adams, Mark J., Zheng, Hua, Lu, Zen Haut, Ray, Debashree, Colvin, Lesley A., Palmer, Colin N. A., McIntosh, Andrew M., Smith, Blair H.
Published in Phenomics (Cham, Switzerland) (01.02.2023)
Published in Phenomics (Cham, Switzerland) (01.02.2023)
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Journal Article
Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study
Reel, Parminder S., Reel, Smarti, van Kralingen, Josie C., Langton, Katharina, Lang, Katharina, Erlic, Zoran, Larsen, Casper K., Amar, Laurence, Pamporaki, Christina, Mulatero, Paolo, Blanchard, Anne, Kabat, Marek, Robertson, Stacy, MacKenzie, Scott M., Taylor, Angela E., Peitzsch, Mirko, Ceccato, Filippo, Scaroni, Carla, Reincke, Martin, Kroiss, Matthias, Dennedy, Michael C., Pecori, Alessio, Monticone, Silvia, Deinum, Jaap, Rossi, Gian Paolo, Lenzini, Livia, McClure, John D., Nind, Thomas, Riddell, Alexandra, Stell, Anthony, Cole, Christian, Sudano, Isabella, Prehn, Cornelia, Adamski, Jerzy, Gimenez-Roqueplo, Anne-Paule, Assié, Guillaume, Arlt, Wiebke, Beuschlein, Felix, Eisenhofer, Graeme, Davies, Eleanor, Zennaro, Maria-Christina, Jefferson, Emily
Published in EBioMedicine (01.10.2022)
Published in EBioMedicine (01.10.2022)
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