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Your search keyword '"YI Jingwen"' showing total 3 results
Start Over Author "YI Jingwen" Topic complex splicing
3 results on '"YI Jingwen"'

1. SUVA: splicing site usage variation analysis from RNA-seq data reveals highly conserved complex splicing biomarkers in liver cancer.

Author

Cheng, Chao, Liu, Lei, Bao, Yongli, Yi, Jingwen, Quan, Weili, Xue, Yaqiang, Sun, Luguo, and Zhang, Yi

Subjects
LIVER cancer, ALTERNATIVE RNA splicing, TUMOR markers, RNA-binding proteins, RNA sequencing
Abstract

Most of the current alternative splicing (AS) analysis tools are powerless to analyse complex splicing. To address this, we developed SUVA (Splice sites Usage Variation Analysis) that decomposes complex splicing events into five types of splice junction pairs. By analysing real and simulated data, SUVA showed higher sensitivity and accuracy in detecting AS events than the compared methods. Notably, SUVA detected extensive complex AS events and screened out 69 highly conserved and dominant AS events associated with cancer. The cancer-associated complex AS events in FN1 and the co-regulated RNA-binding proteins were significantly correlated with patient survival. [ABSTRACT FROM AUTHOR]

Published
2023
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2. SUVA: splicing site usage variation analysis from RNA-seq data reveals highly conserved complex splicing biomarkers in liver cancer.

Author

Cheng, Chao, Liu, Lei, Bao, Yongli, Yi, Jingwen, Quan, Weili, Xue, Yaqiang, Sun, Luguo, and Zhang, Yi

Subjects
LIVER cancer, TUMOR markers, RNA-binding proteins, RNA sequencing, OVERALL survival
Abstract

Most of the current alternative splicing (AS) analysis tools are powerless to analyse complex splicing. To address this, we developed SUVA (Splice sites Usage Variation Analysis) that decomposes complex splicing events into five types of splice junction pairs. By analysing real and simulated data, SUVA showed higher sensitivity and accuracy in detecting AS events than the compared methods. Notably, SUVA detected extensive complex AS events and screened out 69 highly conserved and dominant AS events associated with cancer. The cancer-associated complex AS events in FN1 and the co-regulated RNA-binding proteins were significantly correlated with patient survival. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
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3. SUVA: splicing site usage variation analysis from RNA-seq data reveals highly conserved complex splicing biomarkers in liver cancer.

Author

Cheng, Chao, Liu, Lei, Bao, Yongli, Yi, Jingwen, Quan, Weili, Xue, Yaqiang, Sun, Luguo, and Zhang, Yi

Subjects
LIVER cancer, ALTERNATIVE RNA splicing, TUMOR markers, RNA-binding proteins, RNA sequencing
Abstract

Most of the current alternative splicing (AS) analysis tools are powerless to analyse complex splicing. To address this, we developed SUVA (Splice sites Usage Variation Analysis) that decomposes complex splicing events into five types of splice junction pairs. By analysing real and simulated data, SUVA showed higher sensitivity and accuracy in detecting AS events than the compared methods. Notably, SUVA detected extensive complex AS events and screened out 69 highly conserved and dominant AS events associated with cancer. The cancer-associated complex AS events in FN1 and the co-regulated RNA-binding proteins were significantly correlated with patient survival. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

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