HIGHLIGHTS
- who: (Corresponding author Jianjun Tan. et al. from the Faculty of Environment and Life, Beijing University of Technology, Environment and Life, Beijing University of Technology, Beijing, China have published the article: LPI-CSFFR: Combining Serial Fusion with Feature Reuse for Predicting LncRNA-Protein Interactions, in the Journal: (JOURNAL)
- what: The authors propose a reliable computational-based method called using sequences secondary structures and physicochemical properties of proteins and lncRNAs for training and predicting LncRPIs. The authors propose a feature reuse-based approach named LPI-CSFFR using CNN connecting all characteristics in serial fusion. The authors . . .
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