AIMC Topic: RNA, Messenger

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LSA-ac4C: A hybrid neural network incorporating double-layer LSTM and self-attention mechanism for the prediction of N4-acetylcytidine sites in human mRNA.

International journal of biological macromolecules Sep 13, 2023
N4-acetylcytidine (ac4C) is a vital constituent of the epitranscriptome and plays a crucial role in the regulation of mRNA expression. Numerous studies have established correlations between ac4C and the incidence, progression and prognosis of various...
Machine Learning RNA, Messenger Cytidine Humans Neural Networks, Computer
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A machine learning classifier using 33 host immune response mRNAs accurately distinguishes viral and non-viral acute respiratory illnesses in nasal swab samples.

Genome medicine Aug 28, 2023
BACKGROUND: Viral acute respiratory illnesses (viral ARIs) contribute significantly to human morbidity and mortality worldwide, but their successful treatment requires timely diagnosis of viral etiology, which is complicated by overlap in clinical pr...
Pandemics Macrophages Neutrophils RNA, Messenger Humans Machine Learning
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Construction and validation of a cuproptosis-related diagnostic gene signature for atrial fibrillation based on ensemble learning.

Hereditas Aug 24, 2023
BACKGROUND: Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. Nonetheless, the accurate diagnosis of this condition continues to pose a challenge when relying on conventional diagnostic techniques. Cell death is a key factor in ...
RNA, Messenger Apoptosis Copper Machine Learning Gene Regulatory Networks Atrial Fibrillation Selection, Genetic Humans
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Towards in silico CLIP-seq: predicting protein-RNA interaction via sequence-to-signal learning.

Genome biology Aug 4, 2023
We present RBPNet, a novel deep learning method, which predicts CLIP-seq crosslink count distribution from RNA sequence at single-nucleotide resolution. By training on up to a million regions, RBPNet achieves high generalization on eCLIP, iCLIP and m...
Humans Computer Simulation Deep Learning Nucleotide Motifs RNA Splice Sites Consensus Sequence Base Sequence Binding Sites RNA, Viral Alleles RNA Nucleotides RNA, Messenger Bias Mutation Datasets as Topic Internet RNA-Binding Proteins
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An automated framework for evaluation of deep learning models for splice site predictions.

Scientific reports Jun 23, 2023
A novel framework for the automated evaluation of various deep learning-based splice site detectors is presented. The framework eliminates time-consuming development and experimenting activities for different codebases, architectures, and configurati...
RNA Splice Sites RNA, Messenger Caenorhabditis elegans Humans Data Analysis Deep Learning Genomics Animals
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Predicting gene and protein expression levels from DNA and protein sequences with Perceiver.

Computer methods and programs in biomedicine Mar 22, 2023
BACKGROUND AND OBJECTIVE: The functions of an organism and its biological processes result from the expression of genes and proteins. Therefore quantifying and predicting mRNA and protein levels is a crucial aspect of scientific research. Concerning ...
Neural Networks, Computer Mice RNA, Messenger Algorithms Proteins Animals DNA
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Construction of an enhanced computed tomography radiomics model for non-invasively predicting granzyme A in head and neck squamous cell carcinoma by machine learning.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Mar 15, 2023
PURPOSE: Classical prognostic indicators of head and neck squamous cell carcinoma (HNSCC) can no longer meet the clinical needs of precision medicine. This study aimed to establish a radiomics model to predict Granzyme A (GZMA) expression in patients...
Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Tomography Granzymes Machine Learning Prognosis RNA, Messenger Humans
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DeepmRNALoc: A Novel Predictor of Eukaryotic mRNA Subcellular Localization Based on Deep Learning.

Molecules (Basel, Switzerland) Mar 1, 2023
The subcellular localization of messenger RNA (mRNA) precisely controls where protein products are synthesized and where they function. However, obtaining an mRNA's subcellular localization through wet-lab experiments is time-consuming and expensive,...
Proteins Deep Learning Eukaryota Endoplasmic Reticulum Computational Biology RNA, Messenger
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RNADSN: Transfer-Learning 5-Methyluridine (mU) Modification on mRNAs from Common Features of tRNA.

International journal of molecular sciences Nov 4, 2022
One of the most abundant non-canonical bases widely occurring on various RNA molecules is 5-methyluridine (m5U). Recent studies have revealed its influences on the development of breast cancer, systemic lupus erythematosus, and the regulation of stre...
RNA, Transfer Uridine Neural Networks, Computer RNA, Messenger
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Integrative Histology-Genomic Analysis Predicts Hepatocellular Carcinoma Prognosis Using Deep Learning.

Genes Sep 30, 2022
Cancer prognosis analysis is of essential interest in clinical practice. In order to explore the prognostic power of computational histopathology and genomics, this paper constructs a multi-modality prognostic model for survival prediction. We collec...
Liver Neoplasms Gene Expression Profiling RNA, Messenger Genomics Gene Expression Regulation, Neoplastic Deep Learning Humans Carcinoma, Hepatocellular Prognosis
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