Rapid assessment of clinical severity for salmonellosis cases via protein family domain analysis and machine learning.

Bhattacharyya A, Panday S, Ussery D

DOI: 10.20935/acadmolbiogen7776
Published: 2025
Container: Academia molecular biology and genomics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.20935/acadmolbiogen7776,
  title = {Rapid assessment of clinical severity for salmonellosis cases via protein family domain analysis and machine learning.},
  author = {Bhattacharyya A and Panday S and Ussery D},
  year = {2025},
  journal = {Academia molecular biology and genomics},
  doi = {10.20935/acadmolbiogen7776},
  url = {https://doi.org/10.20935/acadmolbiogen7776}
}

RIS

TY  - JOUR
TI  - Rapid assessment of clinical severity for salmonellosis cases via protein family domain analysis and machine learning.
AU  - Bhattacharyya A
AU  - Panday S
AU  - Ussery D
PY  - 2025
JO  - Academia molecular biology and genomics
DO  - 10.20935/acadmolbiogen7776
UR  - https://doi.org/10.20935/acadmolbiogen7776
ER  -

APA

A, B., S, P., & D, U. (2025). Rapid assessment of clinical severity for salmonellosis cases via protein family domain analysis and machine learning.. Academia molecular biology and genomics. https://doi.org/10.20935/acadmolbiogen7776

Source records

pubmed · retrieved 2026-09-27T14:34:44.144Z