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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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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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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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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Protocol for detecting lncRNA-protein interaction in vivo using the yeast three-hybrid assay [PDF]
STAR ProtocolsSummary: Analyses of long non-coding RNA (lncRNA)-protein interactions provide key clues for understanding the molecular basis of lncRNA-modulated biological processes. Here, we detail a yeast three-hybrid assay to identify the lncRNA-interacting protein.
Jingjing Cai +5 more
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LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks model
Frontiers in Genetics, 2023 LncRNA-protein interaction plays an important role in the development and treatment of many human diseases. As the experimental approaches to determine lncRNA–protein interactions are expensive and time-consuming, considering that there are few ...
Meng-Meng Wei +8 more
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Frontiers in Genetics, 2022 Long noncoding RNAs (lncRNAs) play important roles in a variety of biological processes. Knocking out or knocking down some lncRNA genes can lead to death or infertility. These lncRNAs are called essential lncRNAs.
Xiao-Hong Xin +5 more
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Prediction of lncRNA–Protein Interactions via the Multiple Information Integration
Frontiers in Bioengineering and Biotechnology, 2021 The long non-coding RNA (lncRNA)–protein interaction plays an important role in the post-transcriptional gene regulation, such as RNA splicing, translation, signaling, and the development of complex diseases.
Yifan Chen +5 more
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Predicting lncRNA–Protein Interactions With miRNAs as Mediators in a Heterogeneous Network Model
Frontiers in Genetics, 2020 Long non-coding RNAs (lncRNAs) play important roles in various biological processes, where lncRNA–protein interactions are usually involved. Therefore, identifying lncRNA–protein interactions is of great significance to understand the molecular functions
Yuan-Ke Zhou +5 more
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