COST Action CA18131 (ML4Microbiome)

Network
Statistical and machine learning techniques in human microbiome studies

Description

The action connected microbiome researchers with machine learning experts to standardise analysis methods, benchmark tools, and address challenges such as preprocessing, feature selection and interpretability of microbiome data.

Publications

Machine learning approaches in microbiome research: challenges and best practices
Papoutsoglou G., Tarazona S., Lopes M. B., 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 M. J., Berland M. Front Microbiol 14, 1261889 PDF
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 M. B., Ibrahimi E., Gruca A., Nechyporenko A., Frohme M., Klammsteiner T., Pau E. C. S., Marcos-Zambrano L. J., Hron K., Pio G., Simeon A., Suharoschi R., Moreno-Indias I., Temko A., Nedyalkova M., Apostol E., Truică C., Shigdel R., Telalović J. H., Bongcam-Rudloff E., Przymus P., Jordamović N. B., Falquet L., Tarazona S., Sampri A., Isola G., Pérez-Serrano D., Trajkovik V., Klucar L., Loncar-Turukalo T., Havulinna A. S., Jansen C., Bertelsen R. J., Claesson M. J. Front Microbiol 14, 1257002 PDF
A toolbox of machine learning software to support microbiome analysis
Marcos-Zambrano L. J., López-Molina V. M., 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 M. L., Ceci M., Duman H., Gündoğdu A., Havulinna A. S., Kaka Bra K. H. N., Kalluci E., Karav S., Lode D., Lopes M. B., May P., Nap B., Nedyalkova M., Paciência I., Pasic L., Pujolassos M., Shigdel R., Susín A., Thiele I., Truică C., Wilmes P., Yilmaz E., Yousef M., Claesson M. J., Truu J., Carrillo de Santa Pau E. Front Microbiol 14, 1250806 PDF
Applications of machine learning in human microbiome studies: a review on feature selection, biomarker identification, disease prediction and treatment
Marcos-Zambrano L. J., Karaduzovic-Hadziabdic K., Loncar-Turukalo T., Przymus P., Trajkovik V., Aasmets O., Berland M., Gruca A., Hasic Telalovic J., Karel H., Klammsteiner T., Kolev M., Lahti L., Lopes M. B., 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 M. J., Moreno-Indias I., Truu J. Front Microbiol 12, 634511 PDF
Statistical and machine learning techniques in human microbiome studies: contemporary challenges and solutions
Moreno-Indias I., Lahti L., Nedyalkova M., Elbere I., Roshchupkin G. V., Adilovic M., Aydemir O., Bakir-Gungor B., Carrillo-de Santa Pau E., D'Elia D., Desai M. S., Falquet L., Gundogdu A., Hron K., Klammsteiner T., Lopes M. B., Marcos Zambrano L. J., Marques C., Mason M., May P., Pašić L., Pio G., Pongor S., Promponas V. J., Przymus P., Sáez-Rodríguez J., Sampri A., Shigdel R., Stres B., Suharoschi R., Truu J., Truică C., Vilne B., Vlachakis D. P., Yılmaz E., Zeller G., Zomer A., Gómez-Cabrero D., Claesson M. Front Microbiol 12, 635781 PDF