Semi-supervised ensemble learning with interval type-2 fuzzy-rough sets for Parkinson's disease prediction from multi-omics.

Hazarika A, Kumar A, Halder A

DOI: 10.1007/s00335-026-10256-x
Published: 2026 Jul 11
Container: Mammalian genome : official journal of the International Mammalian Genome Society
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1007/s00335-026-10256-x,
  title = {Semi-supervised ensemble learning with interval type-2 fuzzy-rough sets for Parkinson's disease prediction from multi-omics.},
  author = {Hazarika A and Kumar A and Halder A},
  year = {2026},
  journal = {Mammalian genome : official journal of the International Mammalian Genome Society},
  doi = {10.1007/s00335-026-10256-x},
  url = {https://doi.org/10.1007/s00335-026-10256-x}
}

RIS

TY  - JOUR
TI  - Semi-supervised ensemble learning with interval type-2 fuzzy-rough sets for Parkinson's disease prediction from multi-omics.
AU  - Hazarika A
AU  - Kumar A
AU  - Halder A
PY  - 2026
JO  - Mammalian genome : official journal of the International Mammalian Genome Society
DO  - 10.1007/s00335-026-10256-x
UR  - https://doi.org/10.1007/s00335-026-10256-x
ER  -

APA

A, H., A, K., & A, H. (2026). Semi-supervised ensemble learning with interval type-2 fuzzy-rough sets for Parkinson's disease prediction from multi-omics.. Mammalian genome : official journal of the International Mammalian Genome Society. https://doi.org/10.1007/s00335-026-10256-x

Source records

pubmed · retrieved 2026-09-25T08:50:23.298Z
europe-pmc · retrieved 2026-09-25T08:50:23.300Z