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DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest
DNase I hypersensitive sites (DHSs) are genomic regions that provide important information regarding the presence of transcriptional regulatory elements and the state of chromatin. Therefore, identifying DHSs in uncharacterized DNA sequences is crucial for understanding their biological functions an...
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| 出版年: | Oncotarget |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Impact Journals LLC
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5788611/ https://ncbi.nlm.nih.gov/pubmed/29416743 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.23099 |
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