Back to search

Article

Deep learning does not outperform classical machine learning for cell-type annotation

2019-05-31

Abstract excerpt

Deep learning has revolutionized image analysis and natural language processing with remarkable accuracies in prediction tasks, such as image labeling and semantic segmentation or named-entity recognition and semantic role labeling. Specifically, the combination of algorithmic and hardware advances with the appearance of large and well-labeled datasets has led up to seminal contributions in these fields. The emerg...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b799945e-1d8a-5826-8c73-05746371539b
DOI
10.1101/653907
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep learning does not outperform classical machine learning for cell-type annotationDOI 10.1101/653907
Select a neighboring publication to make it the new centre.