AIMC Topic: RNA

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Improving platelet-RNA-based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification.

Molecular oncology Jun 17, 2024
Liquid biopsy demonstrates excellent potential in patient management by providing a minimally invasive and cost-effective approach to detecting and monitoring cancer, even at its early stages. Due to the complexity of liquid biopsy data, machine-lear...
Humans Machine Learning Neoplasms Liquid Biopsy RNA, Neoplasm RNA Blood Platelets
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Machine Learning-Assisted Direct RNA Sequencing with Epigenetic RNA Modification Detection via Quantum Tunneling.

Analytical chemistry Jun 14, 2024
RNA sequence information holds immense potential as a drug target for diagnosing various RNA-mediated diseases and viral/bacterial infections. Massively parallel complementary DNA (c-DNA) sequencing helps but results in a loss of valuable information...
Humans High-Throughput Nucleotide Sequencing Epigenesis, Genetic Machine Learning Quantum Theory Sequence Analysis, RNA RNA
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Big data and deep learning for RNA biology.

Experimental & molecular medicine Jun 14, 2024
The exponential growth of big data in RNA biology (RB) has led to the development of deep learning (DL) models that have driven crucial discoveries. As constantly evidenced by DL studies in other fields, the successful implementation of DL in RB depe...
RNA Big Data Computational Biology Humans Animals Algorithms Deep Learning
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MAHyNet: Parallel Hybrid Network for RNA-Protein Binding Sites Prediction Based on Multi-Head Attention and Expectation Pooling.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2024
RNA-binding proteins (RBPs) can regulate biological functions by interacting with specific RNAs, and play an important role in many life activities. Therefore, the rapid identification of RNA-protein binding sites is crucial for functional annotation...
RNA Binding Sites Neural Networks, Computer Computational Biology RNA-Binding Proteins Algorithms
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[Not Available].

Proteomics Jun 2, 2024
RNA-dependent liquid-liquid phase separation (LLPS) proteins play critical roles in cellular processes such as stress granule formation, DNA repair, RNA metabolism, germ cell development, and protein translation regulation. The abnormal behavior of t...
Humans Artificial Intelligence Databases, Protein RNA Phase Separation Computational Biology Proteins
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Quantitative profiling N1-methyladenosine (m1A) RNA methylation from Oxford nanopore direct RNA sequencing data.

Methods (San Diego, Calif.) May 18, 2024
With the recent advanced direct RNA sequencing technique that proposed by the Oxford Nanopore Technologies, RNA modifications can be detected and profiled in a simple and straightforward manner. Majority nanopore-based modification studies were devot...
Machine Learning Algorithms Humans Adenosine RNA Processing, Post-Transcriptional RNA Methylation Nanopore Sequencing Sequence Analysis, RNA RNA Workflow Methylation HEK293 Cells
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Deep Learning for Elucidating Modifications to RNA-Status and Challenges Ahead.

Genes May 15, 2024
RNA-binding proteins and chemical modifications to RNA play vital roles in the co- and post-transcriptional regulation of genes. In order to fully decipher their biological roles, it is an essential task to catalogue their precise target locations al...
RNA Nucleic Acid Conformation Deep Learning RNA, Messenger RNA-Binding Proteins Humans
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MLm5C: A high-precision human RNA 5-methylcytosine sites predictor based on a combination of hybrid machine learning models.

Methods (San Diego, Calif.) May 8, 2024
RNA modification serves as a pivotal component in numerous biological processes. Among the prevalent modifications, 5-methylcytosine (m5C) significantly influences mRNA export, translation efficiency and cell differentiation and are also associated w...
RNA Processing, Post-Transcriptional Computational Biology RNA 5-Methylcytosine Machine Learning Algorithms Humans
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Discrimination of Genetic Biomarkers of Disease through Machine-Learning-Based Hypothesis Testing of Direct SERS Spectra of DNA and RNA.

ACS sensors Apr 29, 2024
Cancer is globally a leading cause of death that would benefit from diagnostic approaches detecting it in its early stages. However, despite much research and investment, cancer early diagnosis is still underdeveloped. Owing to its high sensitivity, ...
Metal Nanoparticles Silver RNA Spectrum Analysis, Raman DNA, Single-Stranded Humans MicroRNAs Machine Learning Genetic Markers DNA
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Explicate molecular landscape of combined pulmonary fibrosis and emphysema through explainable artificial intelligence: a comprehensive analysis of ILD and COPD interactions using RNA from whole lung homogenates.

Medical & biological engineering & computing Apr 22, 2024
Combined pulmonary fibrosis and emphysema (CPFE) presents a unique challenge in respiratory disorders, merging features of interstitial lung disease (ILD) and chronic obstructive pulmonary disease (COPD). Using the random forest algorithm, our study ...
RNA Machine Learning Pulmonary Disease, Chronic Obstructive Gene Expression Profiling Pulmonary Fibrosis Lung Humans MicroRNAs Lung Diseases, Interstitial Artificial Intelligence Pulmonary Emphysema
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