LncRNA–protein interaction prediction with reweighted feature selection [PDF]
BMC Bioinformatics, 2023 LncRNA–protein interactions are ubiquitous in organisms and play a crucial role in a variety of biological processes and complex diseases. Many computational methods have been reported for lncRNA–protein interaction prediction.
Guohao Lv +8 more
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Predicting lncRNA–Protein Interaction With Weighted Graph-Regularized Matrix Factorization [PDF]
Frontiers in Genetics, 2021 Long non-coding RNAs (lncRNAs) are widely concerned because of their close associations with many key biological activities. Though precise functions of most lncRNAs are unknown, research works show that lncRNAs usually exert biological function by ...
Xibo Sun +7 more
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A Hybrid Prediction Method for Plant lncRNA-Protein Interaction [PDF]
Cells, 2019 Long non-protein-coding RNAs (lncRNAs) identification and analysis are pervasive in transcriptome studies due to their roles in biological processes. In particular, lncRNA-protein interaction has plausible relevance to gene expression regulation and in ...
Jael Sanyanda Wekesa +3 more
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Projection-Based Neighborhood Non-Negative Matrix Factorization for lncRNA-Protein Interaction Prediction [PDF]
Frontiers in Genetics, 2019 Many long ncRNAs (lncRNA) make their effort by interacting with the corresponding RNA-binding proteins, and identifying the interactions between lncRNAs and proteins is important to understand the functions of lncRNA. Compared with the time-consuming and
Yingjun Ma +5 more
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LPInsider: a webserver for lncRNA–protein interaction extraction from the literature [PDF]
BMC Bioinformatics, 2022 Background Long non-coding RNA (LncRNA) plays important roles in physiological and pathological processes. Identifying LncRNA–protein interactions (LPIs) is essential to understand the molecular mechanism and infer the functions of lncRNAs.
Ying Li +6 more
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LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification [PDF]
BioData Mining, 2021 Background Long noncoding RNAs (lncRNAs) have dense linkages with various biological processes. Identifying interacting lncRNA-protein pairs contributes to understand the functions and mechanisms of lncRNAs. Wet experiments are costly and time-consuming.
Lihong Peng +4 more
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Capsule-LPI: a LncRNA-protein interaction predicting tool based on a capsule network. [PDF]
BMC Bioinformatics, 2021 Long noncoding RNAs (lncRNAs) play important roles in multiple biological processes. Identifying LncRNA–protein interactions (LPIs) is key to understanding lncRNA functions.
Li Y +5 more
europepmc +6 more sources
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA-protein interaction identification. [PDF]
BMC Bioinformatics, 2021 Long noncoding RNAs (lncRNAs) play important roles in various biological and pathological processes. Discovery of lncRNA–protein interactions (LPIs) contributes to understand the biological functions and mechanisms of lncRNAs.
Zhou L, Wang Z, Tian X, Peng L.
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A novel lncRNA-protein interaction prediction method based on deep forest with cascade forest structure. [PDF]
Sci Rep, 2021 Long noncoding RNAs (lncRNAs) regulate many biological processes by interacting with corresponding RNA-binding proteins. The identification of lncRNA–protein Interactions (LPIs) is significantly important to well characterize the biological functions and
Tian X, Shen L, Wang Z, Zhou L, Peng L.
europepmc +2 more sources
LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification. [PDF]
BMC Bioinformatics, 2021 Long noncoding RNAs (lncRNAs) have dense linkages with a plethora of important cellular activities. lncRNAs exert functions by linking with corresponding RNA-binding proteins. Since experimental techniques to detect lncRNA-protein interactions (LPIs) are
Zhou L +5 more
europepmc +2 more sources