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TÍTULO: A toolbox of machine learning software to support microbiome analysis  Full Text
AUTORES: Marcos Zambrano, Laura Judith; Lopez Molina, Victor 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, Oender; Berland, Magali; Calle, M. Luz; Ceci, Michelangelo; Duman, Hatice; Guendogdu, Aycan; Havulinna, Aki S.; Kaka Bra, Kardokh Hama Najib; Kalluci, Eglantina; Karav, Sercan; Lode, Daniel; Lopes, Marta B. ; May, Patrick; Nap, Bram; Nedyalkova, Miroslava; Paciencia, Ines; Pasic, Lejla; Pujolassos, Meritxell; Shigdel, Rajesh; Susin, Antonio; Thiele, Ines; Truica, Ciprian Octavian; Wilmes, Paul; Yilmaz, Ercument; Yousef, Malik; Claesson, Marcus Joakim; Truu, Jaak; Carrillo de Santa Pau, Enrique; ...Mais
PUBLICAÇÃO: 2023, FONTE: FRONTIERS IN MICROBIOLOGY, VOLUME: 14
INDEXADO EM: Scopus WOS Unpaywall