AIMC Topic: MicroRNAs
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Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis.
BMC medical informatics and decision making
Sep 15, 2020
BACKGROUND: Breast cancer is the most prevalent and among the most deadly cancers in females. Patients with breast cancer have highly variable survival lengths, indicating a need to identify prognostic biomarkers for personalized diagnosis and treatm...
A review of Cloud computing technologies for comprehensive microRNA analyses.
Computational biology and chemistry
Aug 29, 2020
Cloud computing revolutionized many fields that require ample computational power. Cloud platforms may also provide huge support for microRNA analysis mainly through disclosing scalable resources of different types. In Clouds, these resources are ava...
A machine learning approach identified a diagnostic model for pancreatic cancer through using circulating microRNA signatures.
Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
Aug 9, 2020
Late diagnosis of pancreatic cancer (PC) due to the limited effectiveness of modern testing approaches, causes many patients to miss the chance of surgery and consequently leads to a high mortality rate. Pivotal improvements in circulating microRNA e...
Reproducibility of Results
Sensitivity and Specificity
Computational Biology
MicroRNAs
Microarray Analysis
Pancreatic Neoplasms
Kaplan-Meier Estimate
Gene Expression Regulation, Neoplastic
Circulating MicroRNA
Early Detection of Cancer
Predictive Value of Tests
Neural Networks, Computer
Principal Component Analysis
Machine Learning
Survival Analysis
Algorithms
Humans
MicroRNA Profiling as a Methodology to Diagnose Ménière's Disease: Potential Application of Machine Learning.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Jul 14, 2020
OBJECTIVE: Diagnosis and treatment of Ménière's disease remains a significant challenge because of our inability to understand what is occurring on a molecular level. MicroRNA (miRNA) perilymph profiling is a safe methodology and may serve as a "liqu...
PlantMirP-Rice: An Efficient Program for Rice Pre-miRNA Prediction.
Genes
Jun 18, 2020
Rice microRNAs (miRNAs) are important post-transcriptional regulation factors and play vital roles in many biological processes, such as growth, development, and stress resistance. Identification of these molecules is the basis of dissecting their re...
A novel graph attention adversarial network for predicting disease-related associations.
Methods (San Diego, Calif.)
May 21, 2020
Identifying complex human diseases at molecular level is very helpful, especially in diseases diagnosis, therapy, prognosis and monitoring. Accumulating evidences demonstrated that RNAs are playing important roles in identifying various complex human...
Prediction of miRNA targets by learning from interaction sequences.
PloS one
May 5, 2020
MicroRNAs (miRNAs) are involved in a diverse variety of biological processes through regulating the expression of target genes in the post-transcriptional level. So, it is of great importance to discover the targets of miRNAs in biological research. ...
Age estimation using bloodstain miRNAs based on massive parallel sequencing and machine learning: A pilot study.
Forensic science international. Genetics
Apr 22, 2020
Age estimation is one of the most important components in the practice of forensic science, especially for body fluids or stains at crime scenes. Recent studies have focused on the application of DNA methylation for chronological age determination in...
Machine learning identifies 10 feature miRNAs for lung squamous cell carcinoma.
Gene
Apr 13, 2020
Lung squamous cell carcinoma (LUSC) is a common type of malignancy. The mechanism behind its tumor progression is not clear yet. The aim of this study is to use machine learning to identify the feature miRNAs, which can be reliably used as biomarkers...
Combining feature selection and shape analysis uncovers precise rules for miRNA regulation in Huntington's disease mice.
BMC bioinformatics
Feb 24, 2020
BACKGROUND: MicroRNA (miRNA) regulation is associated with several diseases, including neurodegenerative diseases. Several approaches can be used for modeling miRNA regulation. However, their precision may be limited for analyzing multidimensional da...
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