• Machine Learning Approaches for Biomarker Discovery Using Gene Expression Data 

      Zhang, Xiaokang; Jonassen, Inge; Goksøyr, Anders (Chapter, 2021)
      Biomarkers are of great importance in many fields, such as cancer research, toxicology, diagnosis and treatment of diseases, and to better understand biological response mechanisms to internal or external intervention. ...
    • Machine learning approaches in microbiome research: challenges and best practices 

      Papoutsoglou, Georgios; Tarazona, Sonia; Lopes, Marta B.; Klammsteiner, Thomas; Ibrahimi, Eliana; Eckenberger, Julia; Novielli, Pierfrancesco; Tonda, Alberto; Simeon, Andrea; Shigdel, Rajesh; Béreux, Stéphane; Vitali, Giacomo; Tangaro, Sabina; Lahti, Leo; Temko, Andriy; Claesson, Marcus J.; Berland, Magali (Journal article; Peer reviewed, 2023)
      Microbiome data predictive analysis within a machine learning (ML) workflow presents numerous domain-specific challenges involving preprocessing, feature selection, predictive modeling, performance estimation, model ...
    • Machine learning ATR-FTIR spectroscopy data for the screening of collagen for ZooMS analysis and mtDNA in archaeological bone 

      Pal Chowdhury, Manasij; Choudhury, Kaustabh Datta; Bouchard, Geneviève Pothier; Riel-Salvatore, Julien; Negrino, Fabio; Benazzi, Stefano; Slimak, Ludovic; Frasier, Brenna; Szabo, Vicki; Harrison, Ramona; Hambrecht, George; Kitchener, Andrew C.; Wogelius, Roy A.; Buckley, Mike (Journal article; Peer reviewed, 2021)
      Faunal remains from archaeological sites allow for the identification of animal species that enables the better understanding of the relationships between humans and animals, not only from their morphological information, ...
    • Machine learning based on biomarker profiles identifies distinct subgroups of heart failure with preserved ejection fraction 

      Woolley, Rebecca J.; Ceelen, Daan; Ouwerkerk, Wouter; Tromp, Jasper; Figarska, Sylwia M.; Anker, Stefan D.; Dickstein, Kenneth; Filippatos, Gerasimos; Zannad, Faiez; Marco, Metra; Ng, Leong L.; Samani, Nilesh J.; van Veldhuisen, Dirk J; Lang, Chim C.; Lam, Carolyn S.P.; Voors, Adriaan A. (Journal article; Peer reviewed, 2021)
      Aims The lack of effective therapies for patients with heart failure with preserved ejection fraction (HFpEF) is often ascribed to the heterogeneity of patients with HFpEF. We aimed to identify distinct pathophysiologic ...
    • Machine learning in marine ecology: an overview of techniques and applications 

      Rubbens, Peter; Brodie, Stephanie; Cordier, Tristan; Desto Barcellos, Diogo; DeVos, Paul; Fernandes-Salvador, Jose A; Fincham, Jennifer; Gomes, Alessandra; Handegard, Nils Olav; Howell, Kerry L.; Jamet, Cédric; Kartveit, Kyrre Heldal; Moustahfid, Hassan; Parcerisas, Clea; Politikos, Dimitris V.; Sauzède, Raphaëlle; Sokolova, Maria; Uusitalo, Laura; Van den Bulcke, Laure; van Helmond, Aloysius; Watson, Jordan T.; Welch, Heather; Beltran-Perez, Oscar; Chaffron, Samuel; Greenberg, David S.; Kühn, Bernhard; Kiko, Rainer; Lo, Madiop; Lopes, Rubens M.; Möller, Klas Ove; Michaels, William; Pala, Ahmet; Romagnan, Jean-Baptiste; Schuchert, Pia; Seydi, Vahid; Villasante, Sebastian; Malde, Ketil; Irisson, Jean-Olivier (Journal article; Peer reviewed, 2023)
      Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific ...
    • Machine Learning-Based Retrieval of Total Ozone Column Amount and Cloud Optical Depth from Irradiance Measurements 

      Sztipanov, Milos; Krizsán, Levente; Li, Wei; Stamnes, Jakob J.; Svendby, Tove Marit; Stamnes, Knut (Journal article; Peer reviewed, 2024)
      A machine learning algorithm combined with measurements obtained by a NILU-UV irradiance meter enables the determination of total ozone column (TOC) amount and cloud optical depth (COD). In the New York City area, a NILU-UV ...
    • Machine vision in everyday life: Final report 

      Rettberg, Jill Walker; Gunderson, Marianne; Kronman, Linda Maria Jessica; Solberg, Ragnhild Strøm; de Seta, Gabriele (Research report, 2024)
    • Machine vision situations: Tracing distributed agency 

      Gunderson, Marianne; Solberg, Ragnhild; Kronman, Linda Maria Jessica; de Seta, Gabriele; Rettberg, Jill Walker (Journal article; Peer reviewed, 2024)
      This article proposes a new method for tracing and examining agency in heterogeneous assemblages, focusing on the role of machine vision technologies in creative works. We introduce the concept of the “machine vision ...
    • Machine Vision: How Algorithms are Changing the Way We See the World 

      Rettberg, Jill Walker (Book, 2023)
      Humans have used technology to expand our limited vision for millennia, from the invention of the stone mirror 8,000 years ago to the latest developments in facial recognition and augmented reality. We imagine that ...
    • Macro and Microstructural Characteristics of North Atlantic Deep-Sea Sponges as Bioinspired Models for Tissue Engineering Scaffolding 

      Martins, Eva; Rapp, Hans Tore; Xavier, Joana R.; Diogo, Gabriela S.; Reis, Rui L.; Silva, Tiago H. (Journal article; Peer reviewed, 2021)
      Sponges occur ubiquitously in the marine realm and in some deep-sea areas they dominate the benthic communities forming complex biogenic habitats – sponge grounds, aggregations, gardens and reefs. However, deep-sea sponges ...
    • Macroecological context predicts species' responses to climate warming 

      Lynn, Joshua Scott; Klanderud, Kari; Telford, Richard James; Goldberg, Deborah E.; Vandvik, Vigdis (Journal article; Peer reviewed, 2021)
      Context-dependencies in species' responses to the same climate change frustrate attempts to generalize and make predictions based on experimental and observational approaches in biodiversity science. Here, we propose ...
    • Macroeconomy and macropartisanship: Economic conditions and party identification 

      Okolikj, Martin; Quinlan, Stephen; Lewis-Beck, Michael S. (Journal article; Peer reviewed, 2022)
      “It's the economy stupid”—is the phrase that captures the ubiquity of economics in determining election outcomes. Nevertheless, while several studies support the premise of economic voting, a constant critique of valence ...
    • Macromolecular sheets direct the morphology and orientation of plate-like biogenic guanine crystals 

      Wagner, Avital; Upcher, Alexander; Maria, Raquel; Magnesen, Thorolf; Zelinger, Einat; Raposo, Graca; Palmer, Benjamin (Journal article; Peer reviewed, 2023)
      Animals precisely control the morphology and assembly of guanine crystals to produce diverse optical phenomena in coloration and vision. However, little is known about how organisms regulate crystallization to produce ...
    • Macrophage phenotype transitions in a stochastic gene-regulatory network model 

      Frank, Anna-Simone Josefine; Larripa, Kamila; Ryu, Hwayeon; Röblitz, Susanna (Journal article; Peer reviewed, 2023)
      Polarization is the process by which a macrophage cell commits to a phenotype based on external signal stimulation. To know how this process is affected by random fluctuations and events within a cell is of utmost importance ...
    • Macroscale mesenchymal condensation to study cytokine-driven cellular and matrix-related changes during cartilage degradation 

      Weber, Marie-Christin; Fischer, Lisa; Damerau, Alexandra; Ponomarev, Igor; Pfeiffenberger, Moritz; Gaber, Timo; Götschel, Sebastian; Lang, Jens; Röblitz, Susanna; Buttgereit, Frank; Ehrig, Rainald; Lang, Annemarie (Journal article; Peer reviewed, 2020)
      Understanding the pathophysiological processes of cartilage degradation requires adequate model systems to develop therapeutic strategies towards osteoarthritis (OA). Although different in vitro or in vivo models have been ...
    • Made in Almanya: The Birth of Turkish Rap 

      Solomon, Thomas (Chapter, 2021)
      Turkish rap was born in the late 1980s in the transnational meeting of two mobile groups of people: African American soldiers stationed in Germany during the waning days of the Cold War and the period immediately after its ...
    • Magic for the mind's eye: A promising avenue for more universal design in the art of magic 

      Ekroll, Vebjørn; Wünsch, Lara; van Lier, Rob (Journal article; Peer reviewed, 2024)
      In the art of conjuring, as well as in cognitive science, possibilities for designing magic tricks that are suitable for people who are blind or visually impaired have only rarely been considered. In this article, we argue ...
    • MAGIC observations provide compelling evidence of hadronic multi-TeV emission from the putative PeVatron SNR G106.3+2.7 

      Abe, H.; Abe, S.; Acciari, V.A.; Agudo, I.; Aniello, T.; Ansoldi, S.; Antonelli, L.A.; Arbet Engels, Engels; Arcaro, C.; Artero, M.; Asano, K.; Baack, D.; Babić, A.; Baquero, A.; Barres De Almeida, De; Barrio, J.A.; Batković, I.; Baxter, J.; Becerra González, Gonzalez; Bednarek, W.; Bernardini, E.; Bernardos, M.; Berti, A.; Besenrieder, J.; Bhattacharyya, W.; Bigongiari, C.; Biland, A.; Blanch, O.; Bonnoli, G.; Bošnjak, Z.; Burelli, I.; Busetto, G.; Carosi, R.; Carretero-Castrillo, M.; Castro-Tirado, A.J.; Ceribella, G.; Chai, Y.; Chilingarian, A.; Cikota, S.; Colombo, E.; Contreras, J.L.; Cortina, J.; Covino, S.; D'Amico, Giacomo; D'Elia, V.; Da Vela, Vela; Dazzi, F.; De Angelis, Angelis; De Lotto, Lotto; Del Popolo, Popolo; Delfino, M.; Delgado, J.; Delgado Mendez, Mendez; Depaoli, D.; Di Pierro, Pierro; Di Venere, Venere; Do Souto Espiñeira, Souto; Dominis Prester, Prester; Donini, A.; Dorner, D.; Doro, M.; Elsaesser, D.; Emery, G.; Escudero, J.; Fallah Ramazani, Ramazani; Fariña, L.; Fattorini, A.; Font, L.; Fruck, C.; Fukami, S.; Fukazawa, Y.; García López, Lopez; Garczarczyk, M.; Gasparyan, S.; Gaug, M.; Giesbrecht Paiva, Paiva; Giglietto, N.; Giordano, F.; Gliwny, P.; Godinović, N.; Grau, R.; Green, D.; Green, J.G.; Hadasch, D.; Hahn, A.; Hassan, T.; Heckmann, L.; Herrera, J.; Hrupec, D.; Hütten, M.; Imazawa, R.; Inada, T.; Iotov, R.; Ishio, K.; Jiménez Martínez, Martinez; Jormanainen, J.; Kerszberg, D.; Kobayashi, Y.; Kubo, H.; Kushida, J.; Lamastra, A.; Lelas, D.; Leone, F.; Lindfors, E.; Linhoff, L.; Lombardi, S.; Longo, F.; López-Coto, R.; López-Moya, M.; López-Oramas, A.; Loporchio, S.; Lorini, A.; Lyard, E.; MacHado De Oliveira Fraga, De; Majumdar, P.; Makariev, M.; Maneva, G.; Mang, N.; Manganaro, M.; Mangano, S.; Mannheim, K.; Mariotti, M.; Martínez, M.; Mas Aguilar, Aguilar; Mazin, D.; Menchiari, S.; Mender, S.; Mićanović, S.; Miceli, D.; Miener, T.; Miranda, J.M.; Mirzoyan, R.; Molina, E.; Mondal, H.A.; Moralejo, A.; Morcuende, D.; Moreno, V.; Nakamori, T.; Nanci, C.; Nava, L.; Neustroev, V.; Nievas Rosillo, Rosillo; Nigro, C.; Nilsson, K.; Nishijima, K.; Njoh Ekoume, Ekoume; Noda, K.; Nozaki, S.; Ohtani, Y.; Oka, T.; Okumura, A.; Otero-Santos, J.; Paiano, S.; Palatiello, M.; Paneque, D.; Paoletti, R.; Paredes, J.M.; Pavletić, L.; Persic, M.; Pihet, M.; Pirola, G.; Podobnik, F.; Prada Moroni, Moroni; Prandini, E.; Principe, G.; Priyadarshi, C.; Rhode, W.; Ribó, M.; Rico, J.; Righi, C.; Rugliancich, A.; Sahakyan, N.; Saito, T.; Sakurai, S.; Satalecka, K.; Saturni, F.G.; Schleicher, B.; Schmidt, K.; Schmuckermaier, F.; Schubert, J.L.; Schweizer, T.; Sitarek, J.; Sliusar, V.; Sobczynska, D.; Spolon, A.; Stamerra, A.; Strišković, J.; Strom, D.; Strzys, M.; Suda, Y.; Surić, T.; Tajima, H.; Takahashi, M.; Takeishi, R.; Tavecchio, F.; Temnikov, P.; Terauchi, K.; Terzić, T.; Teshima, M.; Tosti, L.; Truzzi, S.; Tutone, A.; Ubach, S.; Van Scherpenberg, Scherpenberg; Vazquez Acosta, Acosta; Ventura, S.; Verguilov, V.; Viale, I.; Vigorito, C.F.; Vitale, V.; Vovk, I.; Walter, R.; Will, M.; Wunderlich, C.; Yamamoto, T.; Zarić, D. (Journal article; Peer reviewed, 2023)
      Context. Certain types of supernova remnants (SNRs) in our Galaxy are assumed to be PeVatrons, capable of accelerating cosmic rays (CRs) to ~ PeV energies. However, conclusive observational evidence for this has not yet ...
    • Magmatism at Passive Margins: Effects of Depth-Dependent Wide Rifting and Lithospheric Counterflow 

      Lu, Gang; Huismans, Ritske Sipke (Journal article; Peer reviewed, 2022)
      Rifted passive margins exhibit a large variety in the timing, distribution, and amount of magmatism. The factors controlling magmatism during rifted margin formation, remain, however, incompletely understood, partly owing ...