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Page 1
A toolbox of machine learning software to support microbiome analysis.
Marcos-Zambrano LJ, López-Molina VM, Bakir-Gungor B, Frohme M, Karaduzovic-Hadziabdic K, Klammsteiner T, Ibrahimi E, Lahti L, Loncar-Turukalo T, Dhamo X, Simeon A, Nechyporenko A, Pio G, Przymus P, Sampri A, Trajkovik V, Lacruz-Pleguezuelos B, Aasmets O, Araujo R, Anagnostopoulos I, Aydemir Ö, Berland M, Calle ML, Ceci M, Duman H, Gündoğdu A, Havulinna AS, Kaka Bra KHN, Kalluci E, Karav S, Lode D, Lopes MB, May P, Nap B, Nedyalkova M, Paciência I, Pasic L, Pujolassos M, Shigdel R, Susín A, Thiele I, Truică CO, Wilmes P, Yilmaz E, Yousef M, Claesson MJ, Truu J, Carrillo de Santa Pau E. Marcos-Zambrano LJ, et al. Among authors: klammsteiner t. Front Microbiol. 2023 Nov 22;14:1250806. doi: 10.3389/fmicb.2023.1250806. eCollection 2023. Front Microbiol. 2023. PMID: 38075858 Free PMC article. Review.
Machine learning approaches in microbiome research: challenges and best practices.
Papoutsoglou G, Tarazona S, Lopes MB, Klammsteiner T, Ibrahimi E, Eckenberger J, Novielli P, Tonda A, Simeon A, Shigdel R, Béreux S, Vitali G, Tangaro S, Lahti L, Temko A, Claesson MJ, Berland M. Papoutsoglou G, et al. Among authors: klammsteiner t. Front Microbiol. 2023 Sep 22;14:1261889. doi: 10.3389/fmicb.2023.1261889. eCollection 2023. Front Microbiol. 2023. PMID: 37808286 Free PMC article. Review.
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment.
Marcos-Zambrano LJ, Karaduzovic-Hadziabdic K, Loncar Turukalo T, Przymus P, Trajkovik V, Aasmets O, Berland M, Gruca A, Hasic J, Hron K, Klammsteiner T, Kolev M, Lahti L, Lopes MB, Moreno V, Naskinova I, Org E, Paciência I, Papoutsoglou G, Shigdel R, Stres B, Vilne B, Yousef M, Zdravevski E, Tsamardinos I, Carrillo de Santa Pau E, Claesson MJ, Moreno-Indias I, Truu J. Marcos-Zambrano LJ, et al. Among authors: klammsteiner t. Front Microbiol. 2021 Feb 19;12:634511. doi: 10.3389/fmicb.2021.634511. eCollection 2021. Front Microbiol. 2021. PMID: 33737920 Free PMC article. Review.
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action.
D'Elia D, Truu J, Lahti L, Berland M, Papoutsoglou G, Ceci M, Zomer A, Lopes MB, Ibrahimi E, Gruca A, Nechyporenko A, Frohme M, Klammsteiner T, Pau ECS, Marcos-Zambrano LJ, Hron K, Pio G, Simeon A, Suharoschi R, Moreno-Indias I, Temko A, Nedyalkova M, Apostol ES, Truică CO, Shigdel R, Telalović JH, Bongcam-Rudloff E, Przymus P, Jordamović NB, Falquet L, Tarazona S, Sampri A, Isola G, Pérez-Serrano D, Trajkovik V, Klucar L, Loncar-Turukalo T, Havulinna AS, Jansen C, Bertelsen RJ, Claesson MJ. D'Elia D, et al. Among authors: klammsteiner t. Front Microbiol. 2023 Sep 25;14:1257002. doi: 10.3389/fmicb.2023.1257002. eCollection 2023. Front Microbiol. 2023. PMID: 37808321 Free PMC article.
Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions.
Moreno-Indias I, Lahti L, Nedyalkova M, Elbere I, Roshchupkin G, Adilovic M, Aydemir O, Bakir-Gungor B, Santa Pau EC, D'Elia D, Desai MS, Falquet L, Gundogdu A, Hron K, Klammsteiner T, Lopes MB, Marcos-Zambrano LJ, Marques C, Mason M, May P, Pašić L, Pio G, Pongor S, Promponas VJ, Przymus P, Saez-Rodriguez J, Sampri A, Shigdel R, Stres B, Suharoschi R, Truu J, Truică CO, Vilne B, Vlachakis D, Yilmaz E, Zeller G, Zomer AL, Gómez-Cabrero D, Claesson MJ. Moreno-Indias I, et al. Among authors: klammsteiner t. Front Microbiol. 2021 Feb 22;12:635781. doi: 10.3389/fmicb.2021.635781. eCollection 2021. Front Microbiol. 2021. PMID: 33692771 Free PMC article.
13 results