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Feature-weighted elastic net: using "features of features" for better prediction

J. Tay, N. Aghaeepour, T. Hastie, и R. Tibshirani. Statistica Sinica, 33 (1): 259--279 (января 2023)
DOI: 10.5705/ss.202020.0226

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Manfred Nimax

Nima Mazloumi

Entwurf eines Referenzmodells und Frameworks zur Erstellung hybrider Lehr- und Lernszenarien: mit Fallbeispielen aus der Betriebswirtschaftslehre und der WirtschaftsinformatikN. Mazloumi. Uni Mannheim, (2009)

Nima Barraci

Nima Torabkhani

Manfred Nimax

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Flow Cytometry Bioinformatics.K. O'Neill, N. Aghaeepour, J. Spidlen, и R. Brinkman. PLoS Comput. Biol., (2013)Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity.N. Ravindra, C. Espinosa, E. Berson, T. Phongpreecha, P. Zhao, M. Becker, A. Chang, S. Shome, I. Maric, D. Francesco и 11 other автор(ы). npj Digit. Medicine, (2023)GateFinder: projection-based gating strategy optimization for flow and mass cytometry.N. Aghaeepour, E. Simonds, D. Knapp, R. Bruggner, K. Sachs, A. Culos, P. Gherardini, N. Samusik, G. Fragiadakis, S. Bendall и 6 other автор(ы). Bioinform., 34 (23): 4131-4133 (2018)Deleterious and Protective Psychosocial and Stress-Related Factors Predict Risk of Spontaneous Preterm BirthM. Becker, J. Mayo, N. Phogat, C. Quaintance, A. Laborde, L. King, I. Gotlib, B. Gaudilliere, M. Angst, G. Shaw и 3 other автор(ы). American journal of perinatology, (мая 2021)Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4S. Donovan, N. Aghaeepour, A. Andres, M. Azad, M. Becker, S. Carlson, K. Järvinen, W. Lin, B. Lönnerdal, C. Slupsky и 1 other автор(ы). The American Journal of Clinical Nutrition, (2023)Dynamic Positioning Based on Voronoi Cells (DPVC).H. Dashti, N. Aghaeepour, S. Asadi, M. Bastani, Z. Delafkar, F. Disfani, S. Ghaderi, S. Kamali, S. Pashami, и A. Siahpirani. RoboCup, том 4020 из Lecture Notes in Computer Science, стр. 219-229. Springer, (2005)VoPo leverages cellular heterogeneity for predictive modeling of single-cell dataN. Stanley, I. Stelzer, A. Tsai, R. Fallahzadeh, E. Ganio, M. Becker, T. Phongpreecha, H. Nassar, S. Ghaemi, I. Maric и 20 other автор(ы). Nature Communications, 11 (1): 3738-- (2020)Risk assessment analysis for maternal autoantibody-related autism (MAR-ASD): a subtype of autismA. Ramirez-Celis, M. Becker, M. Nuño, J. Schauer, N. Aghaeepour, и J. Van de Water. Molecular Psychiatry, (2021)Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countriesC. Espinosa, W. Khan, R. Khanam, S. Das, J. Khalid, J. Pervin, M. Kasaro, K. Contrepois, A. Chang, T. Phongpreecha и 47 other автор(ы). Science Advances, 9 (21): eade7692 (2023)Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.M. Ghaemi, D. DiGiulio, K. Contrepois, B. Callahan, T. Ngo, B. Lee-McMullen, B. Lehallier, A. Robaczewska, D. Mcilwain, Y. Rosenberg-Hasson и 33 other автор(ы). Bioinform., 35 (1): 95-103 (2019)

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Please choose a person to relate this publication to

Manfred Nimax

Nima Mazloumi

Nima Barraci

Nima Torabkhani

Manfred Nimax

Другие публикации лиц с тем же именем

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