Discovering What Dimensionality Reduction Really Tells Us About RNA-Seq Data

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...

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Bibliographic Details
Main Authors: Simmons, Sean Kenneth (Contributor), Peng, Jian (Contributor), Bienkowska, Jadwiga R (Contributor), Berger Leighton, Bonnie (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Mathematics (Contributor)
Format: Article
Language:English
Published: Mary Ann Liebert, Inc., 2016-11-02T20:49:00Z.
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