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...

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Detalles Bibliográficos
Autores principales: Yin, HuaChun, Tao, JingXin, Peng, Yuyang, Xiong, Ying, Li, Bo, Li, Song, Yang, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
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

Internet

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

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