Ontology highlight
ABSTRACT:
SUBMITTER: Parnamaa T
PROVIDER: S-EPMC5427497 | biostudies-literature | 2017 May
REPOSITORIES: biostudies-literature
Pärnamaa Tanel T Parts Leopold L
G3 (Bethesda, Md.) 20170505 5
High-throughput microscopy of many single cells generates high-dimensional data that are far from straightforward to analyze. One important problem is automatically detecting the cellular compartment where a fluorescently-tagged protein resides, a task relatively simple for an experienced human, but difficult to automate on a computer. Here, we train an 11-layer neural network on data from mapping thousands of yeast proteins, achieving per cell localization classification accuracy of 91%, and pe ...[more]