GECO: gene expression clustering optimization app for non-linear data visualization of patterns
Abstract Background Due to continued advances in sequencing technology, the limitation in understanding biological systems through an “-omics” lens is no longer the generation of data, but the ability to analyze it. Importantly, much of this rich -omics data is publicly available waiting to be furth...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMC
2021-01-01
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| シリーズ: | BMC Bioinformatics |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1186/s12859-020-03951-2 |
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