Marcel Reinders
Hoogleraar Biomedische Datawetenschappen, in het bijzonder Computationele Levenswetenschappen
- Naam
- Prof.dr.ir. M.J.T. Reinders
- Telefoon
- +31 71 526 9111
- m.j.t.reinders@lumc.nl
Hoogleraar Biomedische Datawetenschappen, in het bijzonder Computationele Levenswetenschappen
- Faculteit Geneeskunde
- Divisie 4
- Biomedical Data Sciences
- Bizzarri, D.; Reinders, M.J.T.; Beekman, M.; Slagboom, P.E.; Akker, E.B. van den & BbmriNl (2023), Technical report, Metabolites 13(12).
- Daniele Bizzarri, Marcel J T Reinders, Marian Beekman, P Eline Slagboom, Erik B van den Akker & On Behalf Of The BbmriNL (2023), Technical Report: A Comprehensive Comparison between Different Quantification Versions of Nightingale Health's 1H-NMR Metabolomics Platform, Metabolites 13(12).
- Kuiper, L.M.; Polinder-Bos, H.A.; Bizzarri, D.; Vojinovic, D.; Vallerga, C.L.; Beekman, M.; Dollé, E.T.; Ghanbari, M.; Voortman, T.; Reinders, M.J.T.; Verschuren, W.M.M.; Slagboom, P.E.; Akker, E.B. van den & Meurs, J.B.J. van (2023), Epigenetic and Metabolomic Biomarkers for Biological Age: A Comparative Analysis of Mortality and Frailty Risk, The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences 78(10): 1753-1762.
- Eltager, M.; Abdelaal, T.; Charrout, M.; Mahfouz, A.; Reinders, M.J.T. & Makrodimitris, S. (2023), Benchmarking variational AutoEncoders on cancer transcriptomics data, PLoS ONE 18(10).
- Michielsen, L.; Lotfollahi, M.; Strobl, D.; Sikkema, L.; Reinders, M.J.T.; Theis, F.J. & Mahfouz, A. (2023), Single-cell reference mapping to construct and extend cell-type hierarchies, NAR Genomics and Bioinformatics 5(3).
- Bouland, G.A.; Mahfouz, A. & Reinders, M.J.T. (2023), Consequences and opportunities arising due to sparser single-cell RNA-seq datasets, Genome Biology 24(1).
- Singh, A.; Biharie, K.; Reinders, M.J.T.; Mahfouz, A. & Abdelaal, T. (2023), scTopoGAN: unsupervised manifold alignment of single-cell data, Bioinformatics Advances 3(1).
- Bogaards, F.A.; Gehrmann, T.; Beekman, M.; Akker, E. ben van den; Rest, O. van de; Hangelbroek, R.W.J.; Noordam, R.; Mooijaart, S.P.; Groot, L.C.P.G.M. de; Reinders, M.J.T. & Slagboom, P.E. (2022), PLIS: a metabolomic response monitor to a lifestyle intervention study in older adults, The FASEB Journal 36(11).
- Bizzarri, D.; Reinders, M.J.T.; Beekman, M.; Slagboom, P.E. & Akker, E.B. van den (2022), MiMIR, Bioinformatics 38(15): 3847-3849.
- Dekker, J.; Dongen, J.J.M. van; Reinders, M.J.T. & Khatri, I. (2022), pmTR database, Genes and Immunity 23(2): 99-110.
- Maurits, M.P.; Korsunsky, I.; Raychaudhuri, S.; Murphy, S.N.; Smoller, J.W.; Weiss, S.T.; Huizinga, T.W.J.; Reinders, M.J.T.; Karlson, E.W.; Akker, E.B. van den & Knevel, R. (2022), A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history, JAMIA: A Scholarly Journal of Informatics in Health and Biomedicine 29(5): 761-769.
- Bizzarri, D.; Reinders, M.J.T.; Beekman, M.; Slagboom, P.E.; BBMRI-NL & Akker, E.B. van den (2022), 1H-NMR metabolomics-based surrogates to impute common clinical risk factors and endpoints, EBioMedicine 75.
- Ferraro, F.; Fevga, C.; Bonifati, V.; Mandemakers, W.; Mahfouz, A. & Reinders, M. (2022), Correcting differential gene expression analysis for cyto-architectural alterations in substantia nigra of Parkinson's disease patients reveals known and potential novel disease-associated genes and pathways, Cells 11(2).
- Khatri, I.; Berkowska, M.A.; Akker, E.B. van den; Teodosio, C.; Reinders, M.J.T. & Dongen, J.J.M. van (2021), Reply to the Commentary on population matched (pm) germline allelic variants of immunoglobulin (IG) loci: relevance in infectious diseases and vaccination studies in human populations.
- Groen, N.; Leenders, F.; Mahfouz, A.; Munoz-Garcia, A.; Muraro, M.J.; Graaf, N. de; Rabelink, T.J.; Hoeben, R.; Oudenaarden, A. van; Zaldumbide, A.; Reinders, M.J.T.; Koning, E.J.P.D. & Carlotti, F. (2021), Single-cell transcriptomics links loss of human pancreatic beta-cell identity to ER stress, Cells 10(12).
- Khatri, I.; Diks, A.M.; Akker, E.B. van den; Oosten, L.E.M.; Zwaginga, J.J.; Reinders, M.J.T.; Dongen, J.J.M. van & Berkowska, M.A. (2021), Longitudinal dynamics of human B-cell response at the single-cell level in response to Tdap vaccination, Vaccines 9(11).
- Keo, A.; Dzyubachyk, O.; Grond, J. van der; Hilten, J.J. van; Reinders, M.J.T. & Mahfouz, A. (2021), Transcriptomic signatures associated with regional cortical thickness changes in Parkinson's disease, Frontiers in Neuroscience 15.
- Khatri, I.; Berkowska, M.A.; Akker, E.B. van den; Teodosio, C.; Reinders, M.J.T. & Dongen, J.J.M. van (2021), Population matched (pm) germline allelic variants of immunoglobulin (IG) loci, Genes and Immunity 22.
- Michielsen, L.; Reinders, M.J.T. & Mahfouz, A. (2021), Hierarchical progressive learning of cell identities in single-cell data, Nature Communications 12(1).
- Keo, A.; Dzyubachyk, O.; Grond, J. van der; Hafkemeijer, A.; Berg, W.D.J. van de; Hilten, J.J. van; Reinders, M.J.T. & Mahfouz, A. (2021), Cingulate networks associated with gray matter loss in Parkinson's disease show high expression of cholinergic genes in the healthy brain, European Journal of Neuroscience 53(11): 3727-3739.
- Jong, S.E. de; Unen, V. van; Manurung, M.D.; Stam, K.A.; Goeman, J.J.; Jochems, S.P.; Hollt, T.; Pezzotti, N.; Mouwenda, Y.D.; Ongwe, M.E.B.; Lorenz, F.R.; Kruize, Y.C.M.; Azimi, S.; Konig, M.H.; Vilanova, A.; Eisemann, E.; Lelieveldt, B.P.F.; Roestenberg, M.; Sim, B.K.L.; Reinders, M.J.T.; Fendel, R.; Hoffman, S.L.; Kremsner, P.G.; Koning, F.; Mordmuller, B.; Lell, B. & Yazdanbakhsh, M. (2021), Systems analysis and controlled malaria infection in Europeans and Africans elucidate naturally acquired immunity, Nature Immunology 22(5): 654-+.
- Yu, W.B.; Mahfouz, A. & Reinders, M.J.T. (2021), CBA: cluster-guided batch alignment for single cell RNA-seq, Frontiers in Genetics 12.
- Almeida, R.C. de; Mahfouz, A.; Mei, H.L.; Houtman, E.; Hollander, W. den; Soul, J.; Suchiman, E.; Lakenberg, N.; Meessen, J.; Huetink, K.; Nelissen, R.G.H.H.; Ramos, Y.F.M.; Reinders, M. & Meulenbelt, I. (2021), Identification and characterization of two consistent osteoarthritis subtypes by transcriptome and clinical data integration, Rheumatology 60(3): 1166-1175.
- Villegas-Morcillo, A.; Makrodimitris, S.; Ham, R.C.H.J. van; Gomez, A.M.; Sanchez, V. & Reinders, M.J.T. (2021), Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function, Bioinformatics 37(2): 162-170.
- Abdelaal, T.; Raadt, P. de; Lelieveldt, B.P.F.; Reinders, M.J.T. & Mahfouz, A. (2020), SCHNEL, Bioinformatics 36: I849-I856.
- Akker, E.B. van den; Makrodimitris, S.; Hulsman, M.; Brugman, M.H.; Nikolic, T.; Bradley, T.; Waisfisz, Q.; Baas, F.; Jakobs, M.E.; Jong, D. de; Slagboom, P.E.; Staal, F.J.T.; Reinders, M.J.T. & Holstege, H. (2020), Dynamic clonal hematopoiesis and functional T-cell immunity in a supercentenarian, Leukemia 35.
- Maarseveen, T.D.; Meinderink, T.; Reinders, M.J.T.; Knitza, J.; Huizinga, T.W.J.; Kleyer, A.; Simon, D.; Akker, E.B. van den & Knevel, R. (2020), Machine learning electronic health record identification of patients with rheumatoid arthritis, JMIR Medical Informatics 8(11).
- Abdelaal, T.; Mourragui, S.; Mahfouz, A. & Reinders, M.J.T. (2020), SpaGE, Nucleic Acids Research 48(18).
- Akker, E.B. van den; Trompet, S.; Wolf, J.J.H.B.; Beekman, M.; Suchiman, H.E.D.; Deelen, J.; Asselbergs, F.W.; Boersma, E.; Cats, D.; Elders, P.M.; Geleijnse, J.M.; Ikram, M.A.; Kloppenburg, M.; Mei, H.; Meulenbelt, I.; Mooijaart, S.P.; Nelissen, R.G.H.H.; Netea, M.G.; Penninx, B.W.J.H.; Slofstra, M.; Stehouwer, C.D.A.; Swertz, M.A.; Teunissen, C.E.; Terwindt, G.M.; Hart, L.M. 't; Maagdenberg, A.M.J.M. van den; Harst, P. van der; Horst, I.C.C. van der; Kallen, C.J.H. van der; Greevenbroek, M.M.J. van; Spil, W.E. van; Wijmenga, C.; Zhernakova, A.; Zwinderman, A.H.; Sattar, N.; Jukema, J.W.; Duijn, C.M. van; Boomsma, D.I.; Reinders, M.J.T. & Slagboom, P.E. (2020), Metabolic age based on the BBMRI-NL H-1-NMR metabolomics repository as biomarker of age-related disease, Circulation: Genomic and Precision Medicine 13(5): 541-547.
- Huisman S.M.H., Mahfouz A., Batmanghelich N.K., Lelieveldt B.P.F. & Reinders M.J.T. (2018), A structural equation model for imaging genetics using spatial transcriptomics, Brain Informatics 5: 13.
- Abdelmoula, W.M.; Balluff, B.; Englert, S.; Dijkstra, J.; Reinders, M.J.T.; Walch, A.; McDonnell, L.A. & Lelieveldt, B.P.F. (2016), Data-driven identification of prognostic tumor subpopulations using spatially mapped t-SNE of mass spectrometry imaging data, Proceedings of the National Academy of Sciences 113(43): 12244-12249.
- Mahfouz, A.; Lelieveldt, B.P.F.; Grefhorst, A.; Weert, L.T.C.M. van; Mol, I.M.; Sips, H.C.M.; Heuvel, J.K. van den; Datson, N.A.; Visser, J.A.; Reinders, M.J.T. & Meijer, O.C. (2016), Genome-wide coexpression of steroid receptors in the mouse brain: Identifying signaling pathways and functionally coordinated regions, Proceedings of the National Academy of Sciences 113(10): 2738-2743.
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