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2 results for “deep learning”
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Comprehensive RNA-binding protein analyses and deep learning uncover genetic constraints and disease associations in protein-RNA interfaces.
Cell systems · 2026 : 101588
RNA-binding proteins (RBPs) orchestrate post-transcriptional processes, including splicing, cleavage and polyadenylation, and translation. Our updated RBP resource integrates data from 92 additional RBPs (286 in total) profiled by enhanced CLIP (eCLIP), enabling comprehensive characterization of RNA elements within human K562 …
PMID 42025161 DOI ↗
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HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence.
Molecular cell · 2023 · 83(14): 2595-2611.e11
RNA-binding proteins (RBPs) control RNA metabolism to orchestrate gene expression and, when dysfunctional, underlie human diseases. Proteome-wide discovery efforts predict thousands of RBP candidates, many of which lack canonical RNA-binding domains (RBDs). Here, we present a hybrid ensemble RBP classifier …
PMID 37421941 DOI ↗
Datasets 0
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Analyses 3
GSE315347 · 4 steps · eCLIP · geo_data_processing
Comprehensive RNA-binding protein analyses and deep learning uncover genetic constraints and disease associations in protein-RNA interfaces. (2026)
GSE315406 · 4 steps · eCLIP · geo_data_processing
Comprehensive RNA-binding protein analyses and deep learning uncover genetic constraints and disease associations in protein-RNA interfaces. (2026)
GSE315407 · 4 steps · eCLIP · geo_data_processing
Comprehensive RNA-binding protein analyses and deep learning uncover genetic constraints and disease associations in protein-RNA interfaces. (2026)