Author

Padideh Danaee

Oregon State University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Assay:long-read sequencing· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

David A. HendrixiD· 2 shared A.T. Teegarden· 1 shared Dezhong Deng· 1 shared Erich Merrill· 1 shared Liang HuangiD· 1 shared Mason N. RouchesiD· 1 shared Michelle W. WileyiD· 1 shared Rachael KuintzleiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

David A. HendrixORCID

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2 papers

Recent·Most cited

A Deep Recurrent Neural Network Discovers Complex Biological Rules to Decipher RNA Protein-Coding Potential

Steven T. Hill, Rachael Kuintzle, A.T. Teegarden, Erich Merrill, Padideh Danaee, David A. Hendrix

The paper trains a deep recurrent neural network to predict RNA protein-coding potential, finding it outperforms existing methods and reveals context-sensitive codons predictive of coding potential.

Nucleic Acids Research · Jun 15, 2018Peer-reviewedBioinformatics

bpRNA: Large-scale Automated Annotation and Analysis of RNA Secondary Structure

Padideh Danaee, Mason N. Rouches, Michelle W. Wiley, Dezhong Deng, Liang Huang, David A. Hendrix

The paper introduces bpRNA, a tool for annotating RNA secondary structures, and presents a large database of annotated structures for improving structure prediction and analysis.

Nucleic Acids Research · Apr 11, 2018Peer-reviewedBioinformatics