Breast cancer prediction based on gene expression data using interpretable machine learning techniques
| dc.article.end-page | 19 | en |
| dc.article.start-page | 1 | en |
| dc.citation.doi | 10.1038/S41598-025-85323-5 | en |
| dc.contributor.author | Gabriel Kallah-Dagadu | en |
| dc.contributor.author | Mohanad Mohammed | en |
| dc.contributor.author | Justine Nasejje | en |
| dc.contributor.author | Nobuhle Nokubonga Mchunu | en |
| dc.contributor.author | Halima S Twabi | en |
| dc.contributor.author | Jesca Mercy Batidzirai | en |
| dc.contributor.author | Geoffrey Chiyuzga Singini | en |
| dc.contributor.author | Portia Nevhungoni | en |
| dc.contributor.author | Innocent Maposa | en |
| dc.date.accessioned | 2025-09-04T10:57:14Z | |
| dc.faculty | FACULTY OF SCIENCE | en |
| dc.identifier.citation | WOS | en |
| dc.identifier.uri | https://hdl.handle.net/10539/46310 | |
| dc.journal.title | Breast cancer prediction based on gene expression data using interpretable machine learning techniques | en |
| dc.journal.volume | 15 | en |
| dc.title | Breast cancer prediction based on gene expression data using interpretable machine learning techniques | en |
| dc.type | Journal Article | en |
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