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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2022-03-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/13098.pdf |