Discovering What Dimensionality Reduction Really Tells Us About RNA-Seq Data
Biology is being inundated by noisy, high-dimensional data to an extent never before experienced. Dimensionality reduction techniques such as principal component analysis (PCA) are common approaches for dealing with this onslaught. Though these unsupervised techniques can help uncover interesting st...
| Main Authors: | , , , |
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| 格式: | 文件 |
| 语言: | en_US |
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Mary Ann Liebert, Inc.
2016
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| 在线阅读: | http://hdl.handle.net/1721.1/105168 https://orcid.org/0000-0002-1537-4000 https://orcid.org/0000-0003-2598-3552 https://orcid.org/0000-0002-2724-7228 |