AIMC Topic: MicroRNAs

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Machine learning improves our knowledge about miRNA functions towards plant abiotic stresses.

Scientific reports Feb 20, 2020
During the last two decades, human has increased his knowledge about the role of miRNAs and their target genes in plant stress response. Biotic and abiotic stresses result in simultaneous tissue-specific up/down-regulation of several miRNAs. In this ...
Plant Leaves Machine Learning Models, Biological MicroRNAs Stress, Physiological Regression Analysis Arabidopsis
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miRgo: integrating various off-the-shelf tools for identification of microRNA-target interactions by heterogeneous features and a novel evaluation indicator.

Scientific reports Jan 30, 2020
MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene expression and biological processes through binding to messenger RNAs. Predicting the relationship between miRNAs and their targets is crucial for research and clinical applications. Man...
Humans Computational Biology Models, Statistical Gene Expression Regulation Models, Theoretical Support Vector Machine MicroRNAs
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Machine Learning and Network Analyses Reveal Disease Subtypes of Pancreatic Cancer and their Molecular Characteristics.

Scientific reports Jan 27, 2020
Given that the biological processes governing the oncogenesis of pancreatic cancers could present useful therapeutic targets, there is a pressing need to molecularly distinguish between different clinically relevant pancreatic cancer subtypes. To add...
Humans Machine Learning DNA Methylation MicroRNAs Pancreatic Neoplasms Exome Sequencing Transcription, Genetic RNA-Seq RNA, Messenger Proteome Biomarkers, Tumor Transcriptome Cell Line, Tumor
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Deep neural networks for human microRNA precursor detection.

BMC bioinformatics Jan 13, 2020
BACKGROUND: MicroRNAs (miRNAs) play important roles in a variety of biological processes by regulating gene expression at the post-transcriptional level. So, the discovery of new miRNAs has become a popular task in biological research. Since the expe...
MicroRNAs Base Sequence RNA Precursors Protein Structure, Secondary Machine Learning Deep Learning Databases, Genetic Humans Neural Networks, Computer
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Fast and accurate microRNA search using CNN.

BMC bioinformatics Dec 27, 2019
BACKGROUND: There are many different types of microRNAs (miRNAs) and elucidating their functions is still under intensive research. A fundamental step in functional annotation of a new miRNA is to classify it into characterized miRNA families, such a...
Nucleotide Motifs Base Sequence RNA, Transfer Base Pairing Algorithms MicroRNAs Probability Neural Networks, Computer
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DeepMF: deciphering the latent patterns in omics profiles with a deep learning method.

BMC bioinformatics Dec 27, 2019
BACKGROUND: With recent advances in high-throughput technologies, matrix factorization techniques are increasingly being utilized for mapping quantitative omics profiling matrix data into low-dimensional embedding space, in the hope of uncovering ins...
Humans Neural Networks, Computer Computer Simulation Neoplasms Software Databases, Genetic Algorithms MicroRNAs Deep Learning Genomics RNA, Messenger
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Discovery and annotation of novel microRNAs in the porcine genome by using a semi-supervised transductive learning approach.

Genomics Dec 6, 2019
Despite the broad variety of available microRNA (miRNA) prediction tools, their application to the discovery and annotation of novel miRNA genes in domestic species is still limited. In this study we designed a comprehensive pipeline (eMIRNA) for miR...
Sequence Homology, Nucleic Acid RNA Precursors Nucleotide Motifs Genome Genetic Loci Molecular Sequence Annotation Animals Sus scrofa Transcriptome RNA-Seq MicroRNAs Machine Learning Muscle, Skeletal Algorithms Genomics Liver
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Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAs.

Genomics, proteomics & bioinformatics Dec 4, 2019
Blood-borne small non-coding (sncRNAs) are among the prominent candidates for blood-based diagnostic tests. Often, high-throughput approaches are applied to discover biomarker signatures. These have to be validated in larger cohorts and evaluated by ...
Up-Regulation Monocytes T-Lymphocytes, Helper-Inducer Humans Female Exosomes MicroRNAs High-Throughput Nucleotide Sequencing Male Machine Learning Area Under Curve Germany Alzheimer Disease Real-Time Polymerase Chain Reaction Biomarkers
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The integrative knowledge base for miRNA-mRNA expression in colorectal cancer.

Scientific reports Dec 2, 2019
"miRNA colorectal cancer" (https://mirna-coadread.omics.si/) is a freely available web application for studying microRNA and mRNA expression and their correlation in colorectal cancer. To the best of our knowledge, "miRNA colorectal cancer" has the l...
Knowledge Bases High-Throughput Screening Assays MicroRNAs Rectum Feasibility Studies Humans Colorectal Neoplasms RNA, Messenger Gene Expression Regulation, Neoplastic Colon Gene Expression Profiling
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DeepMiR2GO: Inferring Functions of Human MicroRNAs Using a Deep Multi-Label Classification Model.

International journal of molecular sciences Nov 30, 2019
MicroRNAs (miRNAs) are a highly abundant collection of functional non-coding RNAs involved in cellular regulation and various complex human diseases. Although a large number of miRNAs have been identified, most of their physiological functions remain...
Neural Networks, Computer Cardiovascular Diseases Neoplasms Humans Datasets as Topic Gene Regulatory Networks Gene Ontology Gene Expression Regulation MicroRNAs Schizophrenia
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