AIMC Topic: RNA, Long Noncoding

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LGFC-CNN: Prediction of lncRNA-Protein Interactions by Using Multiple Types of Features through Deep Learning.

Genes Oct 24, 2021
Long noncoding RNA (lncRNA) plays a crucial role in many critical biological processes and participates in complex human diseases through interaction with proteins. Considering that identifying lncRNA-protein interactions through experimental methods...
Neural Networks, Computer Animals Deep Learning Humans RNA-Binding Proteins RNA, Long Noncoding Datasets as Topic Protein Interaction Maps Gene Regulatory Networks Computational Biology
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iLncRNAdis-FB: Identify lncRNA-Disease Associations by Fusing Biological Feature Blocks Through Deep Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
Identification of lncRNA-disease associations is not only important for exploring the disease mechanism, but will also facilitate the molecular targeting drug discovery. Fusing multiple biological information is able to generate a more comprehensive ...
RNA, Long Noncoding Algorithms Neoplasms Deep Learning Humans Genetic Predisposition to Disease Neural Networks, Computer Computational Biology
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A novel lncRNA-protein interaction prediction method based on deep forest with cascade forest structure.

Scientific reports Sep 23, 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...
Computational Biology RNA-Binding Proteins RNA, Long Noncoding Humans Machine Learning Zea mays Arabidopsis Datasets as Topic
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PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions.

BMC bioinformatics Aug 24, 2021
BACKGROUND: Plant long non-coding RNAs (lncRNAs) play vital roles in many biological processes mainly through interactions with RNA-binding protein (RBP). To understand the function of lncRNAs, a fundamental method is to identify which types of prote...
Deep Learning Computational Biology RNA-Binding Proteins Neural Networks, Computer RNA, Long Noncoding
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The Emerging Role of Long Non-Coding RNAs and MicroRNAs in Neurodegenerative Diseases: A Perspective of Machine Learning.

Biomolecules Jul 31, 2021
Neurodegenerative diseases (NDs) are characterized by progressive neuronal dysfunction and death of brain cells population. As the early manifestations of NDs are similar, their symptoms are difficult to distinguish, making the timely detection and d...
Gene Expression Regulation Amyotrophic Lateral Sclerosis Internet Neurons Alzheimer Disease Information Dissemination MicroRNAs RNA, Long Noncoding Nerve Tissue Proteins Databases, Genetic Parkinson Disease Software Humans Computational Biology Machine Learning Signal Transduction
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ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
The dysregulation and mutation of long non-coding RNAs (lncRNAs) have been proved to result in a variety of human diseases. Identifying potential disease-related lncRNAs may benefit disease diagnosis, treatment and prognosis. A number of methods have...
Semantics Computational Biology Humans Support Vector Machine Genetic Predisposition to Disease RNA, Long Noncoding
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PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles.

BMC bioinformatics May 12, 2021
BACKGROUND: Long noncoding RNAs (lncRNAs) play an important role in regulating biological activities and their prediction is significant for exploring biological processes. Long short-term memory (LSTM) and convolutional neural network (CNN) can auto...
Machine Learning Deep Learning Computational Biology RNA, Long Noncoding Bayes Theorem
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Ensemble Deep Learning Based on Multi-level Information Enhancement and Greedy Fuzzy Decision for Plant miRNA-lncRNA Interaction Prediction.

Interdisciplinary sciences, computational life sciences Apr 26, 2021
MicroRNAs (miRNAs) and long non-coding RNAs (lncRNAs) are both non-coding RNAs (ncRNAs) and their interactions play important roles in biological processes. Computational methods, such as machine learning and various bioinformatics tools, can predict...
MicroRNAs RNA, Long Noncoding Machine Learning Deep Learning Computational Biology
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IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier.

BMC bioinformatics Apr 1, 2021
BACKGROUND: Identifying lncRNA-disease associations not only helps to better comprehend the underlying mechanisms of various human diseases at the lncRNA level but also speeds up the identification of potential biomarkers for disease diagnoses, treat...
Computational Biology Machine Learning RNA, Long Noncoding Algorithms Principal Component Analysis Humans
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Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters.

International journal of molecular sciences Mar 25, 2021
RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs (lncRNAs) in schizophrenia (SCZ) patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as bi...
Schizophrenia Prefrontal Cortex Algorithms Humans RNA-Seq Multigene Family Diagnosis, Computer-Assisted Machine Learning Computational Biology Biomarkers RNA, Untranslated RNA, Messenger Transcriptome RNA, Long Noncoding Factor Analysis, Statistical
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