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MSPJ: Discovering potential biomarkers in small gene expression datasets via ensemble learning
In transcriptomics, differentially expressed genes (DEGs) provide fine-grained phenotypic resolution for comparisons between groups and insights into molecular mechanisms underlying the pathogenesis of complex diseases or phenotypes. The robust detection of DEGs from large datasets is well-establish...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304602/ https://www.ncbi.nlm.nih.gov/pubmed/35891786 http://dx.doi.org/10.1016/j.csbj.2022.07.022 |