Wenjun Shen
Shantou University
15 Papers
5 Citations
Wenjun Shen is an academic researcher from Shantou University. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 5, co-authored 7 publications.
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Papers
ncRDeathDB: A comprehensive bioinformatics resource for deciphering network organization of the ncRNA-mediated cell death system.
Deng Wu,Yan Huang,Juanjuan Kang,Kongning Li,Xiaoman Bi,Ting Zhang,Nana Jin,Yongfei Hu,Puwen Tan,Lu Zhang,Ying Yi,Wenjun Shen,Jian Huang,Xiaobo Li,Xia Li,Jianzhen Xu,Dong Wang +16 more
TL;DR: The comprehensive bioinformatics resource (ncRDeathDB, www.rna-society.org/ncrdeathdb) is developed to archive ncRNA-associated cell death interactions and will help to visualize and navigate current knowledge of the noncoding RNA component of cell death and autophagy, to uncover the generic organizing principles of nc RNA- associated cell death systems, and to generate valuable biological hypotheses.
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RPiRLS: Quantitative Predictions of RNA Interacting with Any Protein of Known Sequence
TL;DR: The RPiRLS method outperformed RPI-Pred and IPMiner in terms of accuracy, specificity and sensitivity on the prediction of lncRNA-protein interactions and can be extended to construct RNA-protein interaction networks.
12
The Utility of Supertype Clustering in Prediction for Class II MHC-Peptide Binding.
TL;DR: The superMHC method achieves the state-of-the-art performance and is demonstrated to predict binding affinities to a series of MHC molecules with few binders accurately, which has implications for understanding receptor-ligand interactions involved in MHC-peptide binding.
12
Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning
TL;DR: The proposed asymmetric graph-guided multitask learning approach with self-paced learning for survival analysis applications is able to improve the learning performance by identifying the complex structure among tasks and considering the complexities of training instances and tasks during the model training.
7
An integrative framework to identify cell death-related microRNAs in esophageal squamous cell carcinoma.
Bing-Li Wu,Bing-Li Wu,Dong Wang,Dong Wang,Wen-Jing Bai,Wen-Jing Bai,Fan Zhang,Xing Zhao,Ying Yi,Ting Zhang,Wenjun Shen,En-Min Li,En-Min Li,Li-Yan Xu,Li-Yan Xu,Jianzhen Xu,Jianzhen Xu,Jianzhen Xu +17 more
TL;DR: Results indicated miRNAs intimately connected the two cell death modules in esophageal squamous cell carcinoma, and this integrative framework can also be easily extended to identify mi RNAs in other key cellular signaling pathways or may find conditional specific miRN as in other cancer types.