• Patient-derived organoids and orthotopic xenografts of primary and recurrent gliomas represent relevant patient avatars for precision oncology 

      Golebiewska, Anna; Hau, Ann-Christin; Oudin, Anaïs; Stieber, Daniel; Yabo, Yahaya A.; Baus, Virginie; Barthelemy, Vanessa; Klein, Eliane; Bougnaud, Sébastien; Keunen, Olivier; Wantz, May; Michelucci, Alessandro; Neirinckx, Virginie; Muller, Arnaud; Kaoma, Tony; Nazarov, Petr V.; Azuaje, Francisco; De Falco, Alfonso; Flies, Ben; Richart, Lorraine; Poovathingal, Suresh K; Arns, Thais; Grzyb, Kamil; Mock, Andreas; Herold-Mende, Christel; Steino, Anne; Brown, Dennis; May, Patrick; Miletic, Hrvoje; Malta, Tathiane M.; Noushmehr, Houtan; Kwon, Yong-Jun; Jahn, Winnie; Klink, Barbara; Tanner, Georgette; Stead, Lucy F.; Mittelbronn, Michel; Skupin, Alexander; Hertel, Frank; Bjerkvig, Rolf; Niclou, Simone Pierrette (Journal article; Peer reviewed, 2020)
      Patient-based cancer models are essential tools for studying tumor biology and for the assessment of drug responses in a translational context. We report the establishment a large cohort of unique organoids and patient-derived ...
    • Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions 

      Moreno-Indias, Isabel; Lahti, Leo; Nedyalkova, Miroslava; Elbere, Ilze; Roshchupkin, Gennady V.; Adilovic, Muhamed; Aydemir, Onder; Bakir-Gungor, Burcu; Carrillo-de Santa Pau, Enrique; D’Elia, Domenica; Desai, Mahesh S.; Falquet, Laurent; Gundogdu, Aycan; Hron, Karel; Klammsteiner, Thomas; Lopes, Marta B.; Marcos-Zambrano, Laura Judith; Marques, Cláudia; Mason, Michael; May, Patrick; Pašić, Lejla; Pio, Gianvito; Pongor, Sándor; Promponas, Vasilis J.; Przymus, Piotr; Saez-Rodriguez, Julio; Sampri, Alexia; Shigdel, Rajesh; Stres, Blaz; Suharoschi, Ramona; Truu, Jaak; Truică, Ciprian-Octavian; Vilne, Baiba; Vlachakis, Dimitrios; Yilmaz, Ercument; Zeller, Georg; Zomer, Aldert L.; Gomez-Cabrero, David; Claesson, Marcus J. (Journal article; Peer reviewed, 2021)
      The human microbiome has emerged as a central research topic in human biology and biomedicine. Current microbiome studies generate high-throughput omics data across different body sites, populations, and life stages. Many ...
    • A toolbox of machine learning software to support microbiome analysis 

      Marcos-Zambrano, Laura Judith; López-Molina, Víctor Manuel; Bakir-Gungor, Burcu; Frohme, Marcus; Karaduzovic-Hadziabdic, Kanita; Klammsteiner, Thomas; Ibrahimi, Eliana; Lahti, Leo; Loncar-Turukalo, Tatjana; Dhamo, Xhilda; Simeon, Andrea; Nechyporenko, Alina; Pio, Gianvito; Przymus, Piotr; Sampri, Alexia; Trajkovik, Vladimir; Lacruz-Pleguezuelos, Blanca; Aasmets, Oliver; Araujo, Ricardo; Anagnostopoulos, Ioannis; Aydemir, Önder; Berland, Magali; Calle, M. Luz; Ceci, Michelangelo; Duman, Hatice; Gündoğdu, Aycan; Havulinna, Aki S.; Kaka Bra, Kardokh Hama Najib; Kalluci, Eglantina; Karav, Sercan; Lode, Daniel; Lopes, Marta B.; May, Patrick; Nap, Bram; Nedyalkova, Miroslava; Paciência, Inês; Pasic, Lejla; Pujolassos, Meritxell; Shigdel, Rajesh; Susín, Antonio; Thiele, Ines; Truică, Ciprian-Octavian; Wilmes, Paul; Yilmaz, Ercument; Yousef, Malik; Claesson, Marcus Joakim; Truu, Jaak; Carrillo de Santa Pau, Enrique (Journal article; Peer reviewed, 2023)
      The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data have proven to be challenging due to its complexity and high ...