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

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DOI: 10.3389/fmicb.2021.635781
Published: 2021
Container: Frontiers in microbiology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fmicb.2021.635781,
  title = {Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions.},
  author = {Moreno-Indias I and Lahti L and Nedyalkova M and Elbere I and Roshchupkin G and Adilovic M and Aydemir O and Bakir-Gungor B and Santa Pau EC and D'Elia D and Desai MS and Falquet L and Gundogdu A and Hron K and Klammsteiner T and Lopes MB and Marcos-Zambrano LJ and Marques C and Mason M and May P and Pašić L and Pio G and Pongor S and Promponas VJ and Przymus P and Saez-Rodriguez J and Sampri A and Shigdel R and Stres B and Suharoschi R and Truu J and Truică CO and Vilne B and Vlachakis D and Yilmaz E and Zeller G and Zomer AL and Gómez-Cabrero D and Claesson MJ},
  year = {2021},
  journal = {Frontiers in microbiology},
  doi = {10.3389/fmicb.2021.635781},
  url = {https://doi.org/10.3389/fmicb.2021.635781}
}

RIS

TY  - JOUR
TI  - Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions.
AU  - Moreno-Indias I
AU  - Lahti L
AU  - Nedyalkova M
AU  - Elbere I
AU  - Roshchupkin G
AU  - Adilovic M
AU  - Aydemir O
AU  - Bakir-Gungor B
AU  - Santa Pau EC
AU  - D'Elia D
AU  - Desai MS
AU  - Falquet L
AU  - Gundogdu A
AU  - Hron K
AU  - Klammsteiner T
AU  - Lopes MB
AU  - Marcos-Zambrano LJ
AU  - Marques C
AU  - Mason M
AU  - May P
AU  - Pašić L
AU  - Pio G
AU  - Pongor S
AU  - Promponas VJ
AU  - Przymus P
AU  - Saez-Rodriguez J
AU  - Sampri A
AU  - Shigdel R
AU  - Stres B
AU  - Suharoschi R
AU  - Truu J
AU  - Truică CO
AU  - Vilne B
AU  - Vlachakis D
AU  - Yilmaz E
AU  - Zeller G
AU  - Zomer AL
AU  - Gómez-Cabrero D
AU  - Claesson MJ
PY  - 2021
JO  - Frontiers in microbiology
DO  - 10.3389/fmicb.2021.635781
UR  - https://doi.org/10.3389/fmicb.2021.635781
ER  -

APA

I, M., L, L., M, N., I, E., G, R., M, A., O, A., B, B., EC, S. P., D, D., MS, D., L, F., A, G., K, H., T, K., MB, L., LJ, M., C, M., M, M., P, M., L, P., G, P., S, P., VJ, P., P, P., J, S., A, S., R, S., B, S., R, S., J, T., CO, T., B, V., D, V., E, Y., G, Z., AL, Z., D, G., & MJ, C. (2021). Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions.. Frontiers in microbiology. https://doi.org/10.3389/fmicb.2021.635781

Source records

pubmed · retrieved 2026-09-26T13:27:15.674Z
europe-pmc · retrieved 2026-09-26T13:27:15.672Z