AIMC Topic: RNA Precursors

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BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species.

BioMed research international Aug 22, 2016
MicroRNAs (miRNAs) are a set of short (21-24 nt) noncoding RNAs that play significant regulatory roles in cells. In the past few years, research on miRNA-related problems has become a hot field of bioinformatics because of miRNAs' essential biologica...
RNA Precursors Molecular Sequence Data Humans Sequence Analysis, RNA MicroRNAs Algorithms Base Sequence Animals Species Specificity Neural Networks, Computer Pattern Recognition, Automated Software
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OP-Triplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features.

Journal of bioinformatics and computational biology Oct 27, 2015
MicroRNAs (miRNAs) are a set of short (21-24 nt) non-coding RNAs that play significant regulatory roles in the cells. Triplet-SVM-classifier and MiPred (random forest, RF) can identify the real pre-miRNAs from other hairpin sequences with similar ste...
Computational Biology MicroRNAs RNA Precursors Machine Learning Algorithms
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miRBoost: boosting support vector machines for microRNA precursor classification.

RNA (New York, N.Y.) Mar 20, 2015
Identification of microRNAs (miRNAs) is an important step toward understanding post-transcriptional gene regulation and miRNA-related pathology. Difficulties in identifying miRNAs through experimental techniques combined with the huge amount of data ...
RNA Precursors Sensitivity and Specificity Sequence Alignment Animals Databases, Genetic Humans MicroRNAs Software Computational Biology Information Storage and Retrieval Support Vector Machine
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ViralmiR: a support-vector-machine-based method for predicting viral microRNA precursors.

BMC bioinformatics Jan 21, 2015
BACKGROUND: microRNAs (miRNAs) play a vital role in development, oncogenesis, and apoptosis by binding to mRNAs to regulate the posttranscriptional level of coding genes in mammals, plants, and insects. Recent studies have demonstrated that the expre...
Support Vector Machine RNA, Viral MicroRNAs RNA, Messenger Humans RNA Precursors Sequence Analysis, RNA Computational Biology
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Detection of pre-mRNA involved in abnormal splicing using Graph Neural Network and Nearest Correlation Method.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
BACKGROUND: DNA is the building block of genetic information, and is composed of alternating sequences of exons with genetic information and introns without no genetic information. DNA is damaged by normal metabolic activities and environmental facto...
Neural Networks, Computer RNA Precursors Algorithms ROC Curve RNA Splicing Humans Polymorphism, Single Nucleotide Graph Neural Networks
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Structural interaction fingerprints and machine learning for predicting and explaining binding of small molecule ligands to RNA.

Briefings in bioinformatics Jul 20, 2023
Ribonucleic acids (RNAs) play crucial roles in living organisms and some of them, such as bacterial ribosomes and precursor messenger RNA, are targets of small molecule drugs, whereas others, e.g. bacterial riboswitches or viral RNA motifs are consid...
Machine Learning RNA, Messenger RNA Precursors RNA Ligands Humans Artificial Intelligence
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Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning.

Briefings in bioinformatics May 20, 2021
MOTIVATION: The genome-wide discovery of microRNAs (miRNAs) involves identifying sequences having the highest chance of being a novel miRNA precursor (pre-miRNA), within all the possible sequences in a complete genome. The known pre-miRNAs are usuall...
Humans Computational Biology MicroRNAs RNA Precursors Machine Learning Animals Genome Arabidopsis
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Identification of microRNA precursors using reduced and hybrid features.

Molecular bioSystems Jul 25, 2017
MicroRNAs (also called miRNAs) are a group of short non-coding RNA molecules. They play a vital role in the gene expression of transcriptional and post-transcriptional processes. However, abnormality of their expression has been observed in cancer, h...
Multifactor Dimensionality Reduction Datasets as Topic RNA Precursors Support Vector Machine MicroRNAs Least-Squares Analysis Benchmarking Humans Sequence Analysis, RNA
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