A machine learning approach to a nine-SNP immunogenetic score for prognostic stratification in cervical cancer.
Saved in:
| Title: | A machine learning approach to a nine-SNP immunogenetic score for prognostic stratification in cervical cancer. |
|---|---|
| Authors: | Zidi S; Group of Mycoplasmas, Laboratory of Molecular Microbiology, Vaccinology, and Biotechnology Development, Pasteur Institute of Tunis, University of Tunis El-Manar, Tunis, Tunisia., Yacoubi-Loueslati B; Laboratory of Mycology, Pathologies, and Biomarkers (LR16ES05), Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia., Ben Abdelmoumen Mardassi B; Group of Mycoplasmas, Laboratory of Molecular Microbiology, Vaccinology, and Biotechnology Development, Pasteur Institute of Tunis, University of Tunis El-Manar, Tunis, Tunisia., Almawi WY; Faculty of Sciences; University of Tunis El-Manar, Tunis, Tunisia. |
| Source: | Frontiers in immunology [Front Immunol] 2026 Feb 06; Vol. 17, pp. 1759674. Date of Electronic Publication: 2026 Feb 06 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1664-3224 |
|---|---|
| DOI: | 10.3389/fimmu.2026.1759674 |
