Revealing the grammar of small RNA secretion using interpretable machine learning
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Open Access
- 8 March 2024
- journal article
- research article
- Published by Elsevier in Cell Genomics
- Vol. 4 (4) , 100522
Abstract
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Funding Information
- University of California, San Francisco
This publication has 38 references indexed in Scilit:
- Extracellular RNAs: A New Awareness of Old Perspectives2018
- ExoCarta: A Web-Based Compendium of Exosomal CargoJournal of Molecular Biology, 2016
- Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learningNature Biotechnology, 2015
- Endogenous tRNA-Derived Fragments Suppress Breast Cancer Progression via YBX1 DisplacementCell, 2015
- Secreted microRNAs: a new form of intercellular communicationTrends in Cell Biology, 2012
- Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell IdentitiesMolecular Cell, 2010
- Argonaute HITS-CLIP decodes microRNA–mRNA interaction mapsNature, 2009
- HITS-CLIP yields genome-wide insights into brain alternative RNA processingNature, 2008
- A Universal Framework for Regulatory Element Discovery across All Genomes and Data TypesMolecular Cell, 2007
- Regulation of gene expression by small non‐coding RNAs: a quantitative viewMolecular Systems Biology, 2007