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Feature screening for survival trait with application to TCGA high-dimensional genomic data
BACKGROUND: In high-dimensional survival genomic data, identifying cancer-related genes is a challenging and important subject in the field of bioinformatics. In recent years, many feature screening approaches for survival outcomes with high-dimensional survival genomic data have been developed; how...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918142/ https://www.ncbi.nlm.nih.gov/pubmed/35291482 http://dx.doi.org/10.7717/peerj.13098 |