AIMC Topic: RNA, Messenger
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Impact of chronic intermittent hypoxia on the long non-coding RNA and mRNA expression profiles in myocardial infarction.
Journal of cellular and molecular medicine
Nov 20, 2020
Chronic intermittent hypoxia (CIH) is the primary feature of obstructive sleep apnoea (OSA), a crucial risk factor for cardiovascular diseases. Long non-coding RNAs (lncRNAs) in myocardial infarction (MI) pathogenesis have drawn considerable attentio...
LncMirNet: Predicting LncRNA-miRNA Interaction Based on Deep Learning of Ribonucleic Acid Sequences.
Molecules (Basel, Switzerland)
Sep 23, 2020
Long non-coding RNA (LncRNA) and microRNA (miRNA) are both non-coding RNAs that play significant regulatory roles in many life processes. There is cumulating evidence showing that the interaction patterns between lncRNAs and miRNAs are highly related...
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...
A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections.
Nature communications
Mar 4, 2020
Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce antibiotic overuse, and lower healthcare costs. Here, we develop a generalizable host-gene-expression-based classifier for acute bacterial and viral ...
Humans
RNA, Messenger
Support Vector Machine
Bacterial Infections
Acute Disease
Gene Expression Profiling
Sepsis
Hospital Mortality
ROC Curve
Neural Networks, Computer
Intensive Care Units
Female
Aged
Aged, 80 and over
Adult
Male
Middle Aged
Datasets as Topic
Host-Pathogen Interactions
Virus Diseases
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...
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...
Machine learning with autophagy-related proteins for discriminating renal cell carcinoma subtypes.
Scientific reports
Jan 20, 2020
Machine learning techniques have been previously applied for classification of tumors based largely on morphological features of tumor cells recognized in H&E images. Here, we tested the possibility of using numeric data acquired from software-based ...
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...
Global transcriptome analysis reveals relevant effects at environmental concentrations of cypermethrin in honey bees (Apis mellifera).
Environmental pollution (Barking, Essex : 1987)
Dec 4, 2019
Cypermethrin is a frequently used insecticide in agriculture and households but its chronic and molecular effects are poorly known are . Here we describe effects of sublethal cypermethrin exposure on the global transcriptome in the brain of honey bee...
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...
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