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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; howe...

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Bibliografske podrobnosti
Principais autores: Jie-Huei Wang, Cai-Rong Li, Po-Lin Hou
Format: Artigo
Jezik:Inglês
Izdano: PeerJ Inc. 2022-03-01
Serija:PeerJ
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Online dostop:https://peerj.com/articles/13098.pdf
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