Prediction of potential cancer-risk regions based on transcriptome data: towards a comprehensive view.
A novel integrative pipeline is presented for discovery of potential cancer-susceptibility regions (PCSRs) by calculating the number of altered genes at each chromosomal region, using expression microarray datasets of different human cancers (HCs). Our novel approach comprises primarily predicting P...
| 出版年: | PLoS ONE |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Public Library of Science (PLoS)
2014-01-01
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| オンライン･アクセス: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0096320&type=printable |