Deep Autoencoders for Dimensionality Reduction of High-Content Screening Data

7 Jan 2015Lee ZamparoZhaolei Zhang

High-content screening uses large collections of unlabeled cell image data to reason about genetics or cell biology. Two important tasks are to identify those cells which bear interesting phenotypes, and to identify sub-populations enriched for these phenotypes... (read more)

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