Interpretation of RNA Universe and Coding Potential Using IntRNA
Source abstract
Abstract
Abstract The interpretation of RNA universe and coding potential are long‐standing issues in modern RNA studies, and three crucial questions remain unanswered: a) how to detect and interpret the coding potential of RNA, b) how to annotate the sophisticated taxonomy of the sncRNAs, and c) how to successfully distinguish between circular and linear lncRNAs. In this study, a multi‐channel deep learning framework, IntRNA , is thus constructed to interpret RNA universe and coding potential. First, a large number of RNA encoding features are proposed, which dramatically enlarged the available feature space. Second, a method realizing image‐like representation of RNA sequences is developed to describe the intrinsic correlation among the encoding features generated above. Third, a dual‐path model is constructed, which consistently performed the best among existing methods in various benchmarks. IntRNA ’s interpretability is also validated by analysis, and all source codes are accessible at: https://idrblab.org/intrna/ and https://github.com/idrblab/intrna .
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Cancer-related molecular mechanisms research · RNA and protein synthesis mechanisms · RNA modifications and cancer
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Pharmaceutical Sciences The Second Affiliated Hospital Zhejiang University School of Medicine State Key Laboratory of Advanced Drug Delivery and Release Systems Zhejiang University Hangzhou 310058 China
Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University Alibaba‐Zhejiang University Joint Research Center of Future Digital Healthcare Hangzhou 330110 China
College of Basic Medicine Chongqing Medical University Chongqing 400016 China
The High School Affiliated to Renmin University of China No. 37 Zhongguancun Street. Haidian District Beijing 100080 China
Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases Women's Hospital Zhejiang University School of Medicine Hangzhou 310058 China
Funding
National Natural Science Foundation of China
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