AIMC Topic: MicroRNAs

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Combined embedding model for MiRNA-disease association prediction.

BMC bioinformatics Mar 25, 2021
BACKGROUND: Cumulative evidence from biological experiments has confirmed that miRNAs have significant roles to diagnose and treat complex diseases. However, traditional medical experiments have limitations in time-consuming and high cost so that the...
Computational Biology Humans Algorithms Neural Networks, Computer MicroRNAs Male Software
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A two-stream convolutional neural network for microRNA transcription start site feature integration and identification.

Scientific reports Mar 11, 2021
MicroRNAs (miRNAs) play important roles in post-transcriptional gene regulation and phenotype development. Understanding the regulation of miRNA genes is critical to understand gene regulation. One of the challenges to study miRNA gene regulation is ...
Neural Networks, Computer Algorithms Reproducibility of Results Humans MicroRNAs Base Sequence Transcription Initiation Site Deep Learning Human Embryonic Stem Cells Computational Biology Cell Line
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miTAR: a hybrid deep learning-based approach for predicting miRNA targets.

BMC bioinformatics Feb 27, 2021
BACKGROUND: microRNAs (miRNAs) have been shown to play essential roles in a wide range of biological processes. Many computational methods have been developed to identify targets of miRNAs. However, the majority of these methods depend on pre-defined...
Humans Neural Networks, Computer Deep Learning MicroRNAs
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Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy.

International journal of radiation oncology, biology, physics Feb 1, 2021
PURPOSE: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint prediction of radiation therapy outcomes-radiation pneumonitis (RP) and local control (LC)-in stage III non-small cell lung cancer (NSCLC) patients. Unl...
Cytokines Female Aged Male Humans Positron-Emission Tomography Radiation Pneumonitis Treatment Outcome Carcinoma, Non-Small-Cell Lung MicroRNAs Middle Aged Deep Learning Lung Neoplasms
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Characterization of Antiphospholipid Syndrome Atherothrombotic Risk by Unsupervised Integrated Transcriptomic Analyses.

Arteriosclerosis, thrombosis, and vascular biology Dec 24, 2020
OBJECTIVE: Our aim was to characterize distinctive clinical antiphospholipid syndrome phenotypes and identify novel microRNA (miRNA)-mRNA-intracellular signaling regulatory networks in monocytes linked to cardiovascular disease. Approach and Results:...
Antiphospholipid Syndrome Thrombosis Gene Expression Regulation Oligonucleotide Array Sequence Analysis Gene Regulatory Networks Monocytes Signal Transduction Cluster Analysis MicroRNAs Unsupervised Machine Learning Transcriptome Case-Control Studies Protein Interaction Maps Middle Aged Risk Assessment Gene Expression Profiling Humans Cells, Cultured Adult Male Female Risk Factors
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miRNA-Based Feature Classifier Is Associated with Tumor Mutational Burden in Head and Neck Squamous Cell Carcinoma.

BioMed research international Dec 9, 2020
Tumor mutation burden (TMB) is considered to be an independent genetic biomarker that can predict the tumor patient's response to immune checkpoint inhibitors (ICIs). Meanwhile, microRNA (miRNA) plays a key role in regulating the anticancer immune re...
Mutation Aged Humans Head and Neck Neoplasms Biomarkers, Tumor MicroRNAs Machine Learning Middle Aged Male Female Regression Analysis Immunotherapy Squamous Cell Carcinoma of Head and Neck
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Predicting MicroRNA Sequence Using CNN and LSTM Stacked in Seq2Seq Architecture.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
CNN and LSTM have proven their ability in feature extraction and natural language processing, respectively. So, we tried to use their ability to process the language of RNAs, i.e., predicting sequence of microRNAs using the sequence of mRNA. The idea...
Humans MicroRNAs RNA, Messenger Sequence Analysis, RNA Neural Networks, Computer Models, Genetic Algorithms Computational Biology
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A Comprehensive Analysis of MicroRNAs in Human Osteoporosis.

Frontiers in endocrinology Oct 21, 2020
MicroRNAs (miRNAs) are single-stranded RNA molecules that control gene expression in various processes, such as cancers, Alzheimer's disease, and bone metabolic diseases. However, the regulatory roles of miRNAs in osteoporosis have not been systemati...
Hindlimb Suspension Gene Ontology Humans Databases, Genetic Disease Models, Animal Osteoporosis MicroRNAs Animals Protein Interaction Maps Mice Male Computational Biology Gene Regulatory Networks Gene Expression Profiling
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LMI-DForest: A deep forest model towards the prediction of lncRNA-miRNA interactions.

Computational biology and chemistry Oct 20, 2020
The interactions between miRNAs and long non-coding RNAs (lncRNAs) are subject to intensive recent studies due to its critical role in gene regulations. Computational prediction of lncRNA-miRNA interactions has become a popular alternative strategy t...
Deep Learning Computational Biology MicroRNAs RNA, Long Noncoding Databases, Nucleic Acid Humans
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Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME.

F1000Research Oct 19, 2020
In our earlier study, we proposed a novel feature selection approach, Recursive Cluster Elimination with Support Vector Machines (SVM-RCE) and implemented this approach in Matlab. Interest in this approach has grown over time and several researchers ...
Algorithms Support Vector Machine MicroRNAs
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