Prediction of RNA subcellular localization: Learning from heterogeneous data sources
Summary: RNA subcellular localization has recently emerged as a widespread phenomenon, which may apply to the majority of RNAs. The two main sources of data for characterization of RNA localization are sequence features and microscopy images, such as obtained from single-molecule fluorescent in situ...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-11-01
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Series: | iScience |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004221012670 |