- 11 results
Search results
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2025
Identification of hypertension subtypes using microRNA profiles and machine learning
Reel, S., Reel, P. S., Van Kralingen, J., Larsen, C. K., Robertson, S., MacKenzie, S. M., Riddell, A., McClure, J. D., Lamprou, S., Connell, J. M. C., Amar, L., Pecori, A., Tetti, M., Pamporaki, C., Kabat, M., Ceccato, F., Kroiss, M., Dennedy, M. C., Stell, A. & Deinum, J. & 11 others, , Mar 2025, In: European Journal of Endocrinology. 192, 4, p. 418-428 11 p., lvaf052.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)49 Downloads (Pure) -
2023
Classifying hypertension subtypes using multi-omics: A multi-centre machine learning based retrospective study
Reel, P. S., Reel, S., Cole, C., Zennaro, M. C. & Jefferson, E., 31 Oct 2023. 1 p.Research output: Contribution to conference › Poster › peer-review
Open Access -
FRI135 Differential Expression Of Circulating MicroRNAs In Primary Aldosteronism: Potential Biomarkers For Improved Diagnosis
Lamprou, S., MacKenzie, S. M., McClure, J. D., Robertson, S., Riddell, A., van Kralingen, J. C., Gimenez-Roqueplo, A.-P., Reel, P., Reel, S., Assié, G., Amar, L., Beuschlein, F., Rossi, G. P., Deinum, J., Reincke, M., Eisenhofer, G., Jefferson, E., Zennaro, M. C. & Davies, E., Oct 2023, In: Journal of the Endocrine Society. 7, Suppl 1, p. A350-A351 2 p., bvad114.647.Research output: Contribution to journal › Meeting abstract › peer-review
Open AccessFile36 Downloads (Pure) -
2022
Analyse du profil de méthylation du sang total pour discriminer l’hypertension endocrine
Armignacco, R., Reel, P. S., Reel, S., Jouinot, A., Septier, A., Gaspar, C., Perlemoine, K., Larsen, C. K., Bouys, L., Braun, L., Riester, A., Kroiss, M., Bonnet-Serrano, F., Amar, L., Blanchard, A., Gimenez-Roqueplo, A. P., Prejbisz, A., Januszewicz, A., Dobrowolski, P. & Rossi, G. P. & 12 others, , 24 Sept 2022, In: Annales d'Endocrinologie. 83, 5, p. 297 1 p.Research output: Contribution to journal › Article › peer-review
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Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study
Reel, P. S. (Lead / Corresponding author), Reel, S., van Kralingen, J. C., Langton, K., Lang, K., Erlic, Z., Larsen, C. K., Amar, L., Pamporaki, C., Mulatero, P., Blanchard, A., Kabat, M., Robertson, S., MacKenzie, S. M., Taylor, A. E., Peitzsch, M., Ceccato, F., Scaroni, C., Reincke, M. & Kroiss, M. & 22 others, , Oct 2022, In: EBioMedicine. 84, 16 p., 104276.Research output: Contribution to journal › Article › peer-review
Open AccessFile73 Link opens in a new tab Citations (Scopus)247 Downloads (Pure) -
Preanalytical Pitfalls in Untargeted Plasma Nuclear Magnetic Resonance Metabolomics of Endocrine Hypertension
Bliziotis, N. G. (Lead / Corresponding author), Kluijtmans, L. A. J. (Lead / Corresponding author), Tinnevelt, G. H., Reel, P., Reel, S., Langton, K., Robledo, M., Pamporaki, C., Pecori, A., Van Kralingen, J., Tetti, M., Engelke, U. F. H., Erlic, Z., Engel, J., Deutschbein, T., Nölting, S., Prejbisz, A., Richter, S., Adamski, J. & Januszewicz, A. & 18 others, , 24 Jul 2022, In: Metabolites. 12, 8, 21 p., 679.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Link opens in a new tab Citations (Scopus)114 Downloads (Pure) -
Predicting Hypertension Subtypes with Machine Learning Using Targeted Metabolites and Their Ratios
Reel, S. (Lead / Corresponding author), Reel, P. S., Erlic, Z., Amar, L., Pecori, A., Larsen, C. K., Tetti, M., Pamporaki, C., Prehn, C., Adamski, J., Dennedy, M. C., Deinum, J., Eisenhofer, G., Langton, K., Mulatero, P., Reincke, M., Rossi, G. P., Lenzini, L., Davies, E. & Zennaro, M. C. & 2 others, , 16 Aug 2022, In: Metabolites. 12, 8, 20 p., 755.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Link opens in a new tab Citations (Scopus)155 Downloads (Pure) -
Whole blood methylome-derived features to discriminate endocrine hypertension
Armignacco, R. (Lead / Corresponding author), Reel, P. S., Reel, S., Jouinot, A., Septier, A., Gaspar, C., Perlemoine, K., Larsen, C. K., Bouys, L., Braun, L., Riester, A., Kroiss, M., Bonnet-Serrano, F., Amar, L., Blanchard, A., Gimenez-Roqueplo, A.-P., Prejbisz, A., Januszewicz, A., Dobrowolski, P. & Davies, E. & 15 others, , 3 Nov 2022, In: Clinical Epigenetics. 14, 1, 11 p., 142.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Link opens in a new tab Citations (Scopus)146 Downloads (Pure) -
2021
Targeted metabolomics as a tool in discriminating endocrine from primary hypertension
Erlic, Z., Reel, P., Reel, S., Amar, L., Pecori, A., Larsen, C. K., Tetti, M., Pamporaki, C., Prehn, C., Adamski, J., Prejbisz, A., Ceccato, F., Scaroni, C., Kroiss, M., Dennedy, M. C., Deinum, J., Langton, K., Mulatero, P., Reincke, M. & Lenzini, L. & 6 others, , Apr 2021, In: Journal of Clinical Endocrinology and Metabolism. 106, 4, p. 1111-1128 18 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile31 Link opens in a new tab Citations (Scopus)184 Downloads (Pure) -
Using machine learning approaches for multi-omics data analysis: A review
Reel, P. S., Reel, S., Pearson, E., Trucco, E. & Jefferson, E. (Lead / Corresponding author), Jul 2021, In: Biotechnology Advances. 49, 24 p., 107739.Research output: Contribution to journal › Review article › peer-review
Open AccessFile696 Link opens in a new tab Citations (Scopus)6766 Downloads (Pure) -
2018
The Research Data Management Platform (RDMP): A novel, process driven, open-source tool for the management of longitudinal cohorts of clinical data
Nind, T., Galloway, J., McAllister, G., Scobbie, D., Bonney, W., Hall, C., Tramma, L., Reel, P., Groves, M., Appleby, P., Doney, A., Guthrie, B. & Jefferson, E. (Lead / Corresponding author), 22 May 2018, In: Giga Science. 7, 7, 12 p., giy060.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Link opens in a new tab Citations (Scopus)388 Downloads (Pure)