The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.

Pavlović M, Scheffer L, Motwani K, Kanduri C, Kompova R, Vazov N, Waagan K, Bernal FLM, Costa AA, Corrie B, Akbar R, Al Hajj GS, Balaban G, Brusko TM, Chernigovskaya M, Christley S, Cowell LG, Frank R, Grytten I, Gundersen S, Haff IH, Hovig E, Hsieh PH, Klambauer G, Kuijjer ML, Lund-Andersen C, Martini A, Minotto T, Pensar J, Rand K, Riccardi E, Robert PA, Rocha A, Slabodkin A, Snapkov I, Sollid LM, Titov D, Weber CR, Widrich M, Yaari G, Greiff V, Sandve GK

Open source

DOI: 10.1038/s42256-021-00413-z
Published: 2021 Nov
Container: Nature machine intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s42256-021-00413-z,
  title = {The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.},
  author = {Pavlović M and Scheffer L and Motwani K and Kanduri C and Kompova R and Vazov N and Waagan K and Bernal FLM and Costa AA and Corrie B and Akbar R and Al Hajj GS and Balaban G and Brusko TM and Chernigovskaya M and Christley S and Cowell LG and Frank R and Grytten I and Gundersen S and Haff IH and Hovig E and Hsieh PH and Klambauer G and Kuijjer ML and Lund-Andersen C and Martini A and Minotto T and Pensar J and Rand K and Riccardi E and Robert PA and Rocha A and Slabodkin A and Snapkov I and Sollid LM and Titov D and Weber CR and Widrich M and Yaari G and Greiff V and Sandve GK},
  year = {2021},
  journal = {Nature machine intelligence},
  doi = {10.1038/s42256-021-00413-z},
  url = {https://doi.org/10.1038/s42256-021-00413-z}
}

RIS

TY  - JOUR
TI  - The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.
AU  - Pavlović M
AU  - Scheffer L
AU  - Motwani K
AU  - Kanduri C
AU  - Kompova R
AU  - Vazov N
AU  - Waagan K
AU  - Bernal FLM
AU  - Costa AA
AU  - Corrie B
AU  - Akbar R
AU  - Al Hajj GS
AU  - Balaban G
AU  - Brusko TM
AU  - Chernigovskaya M
AU  - Christley S
AU  - Cowell LG
AU  - Frank R
AU  - Grytten I
AU  - Gundersen S
AU  - Haff IH
AU  - Hovig E
AU  - Hsieh PH
AU  - Klambauer G
AU  - Kuijjer ML
AU  - Lund-Andersen C
AU  - Martini A
AU  - Minotto T
AU  - Pensar J
AU  - Rand K
AU  - Riccardi E
AU  - Robert PA
AU  - Rocha A
AU  - Slabodkin A
AU  - Snapkov I
AU  - Sollid LM
AU  - Titov D
AU  - Weber CR
AU  - Widrich M
AU  - Yaari G
AU  - Greiff V
AU  - Sandve GK
PY  - 2021
JO  - Nature machine intelligence
DO  - 10.1038/s42256-021-00413-z
UR  - https://doi.org/10.1038/s42256-021-00413-z
ER  -

APA

M, P., L, S., K, M., C, K., R, K., N, V., K, W., FLM, B., AA, C., B, C., R, A., GS, A. H., G, B., TM, B., M, C., S, C., LG, C., R, F., I, G., S, G., IH, H., E, H., PH, H., G, K., ML, K., C, L., A, M., T, M., J, P., K, R., E, R., PA, R., A, R., A, S., I, S., LM, S., D, T., CR, W., M, W., G, Y., V, G., & GK, S. (2021). The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.. Nature machine intelligence. https://doi.org/10.1038/s42256-021-00413-z

Source records

pubmed · retrieved 2026-09-26T02:51:00.789Z
europe-pmc · retrieved 2026-09-26T02:51:00.786Z