RNA
An Efficient Approach based on Multi-sources Information to Predict CircRNA-disease Associations Using Deep Convoltional Neural Network
8 days ago | By Oxford Journals
AbstractMotivationEmerging evidence indicates that circular RNA plays a crucial role in human disease. Using circRNA as biomarker gives rise to a new perspective regarding our diagnosing of diseases and understanding of disease pathogenesis. However, detection of circRNA-disease associations by biological experiments alone is often blind, limited to small-scale, high-cost and time-consuming. Therefore, there is an urgent need for reliable computational methods to rapidly infer the potential circRNA-disease associations on a large scale and to provide the most promising candidates for...
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MiR-409-3p is reduced in plasma and islet immune infiltrates of NOD diabetic mice and is differentially expressed in people with type 1 diabetes
8 days ago | By Springer
Abstract
Aims/hypothesis
MicroRNAs are a novel class of potential biomarkers emerging in many diseases, including type 1 diabetes. Here, we aim to analyse a panel of circulating miRNAs in non-obese diabetic mice and individuals with type 1 diabetes.
Methods
We adopted standardised methodologies for extracting miRNAs from small sample volumes to evaluate a profiling panel of mature miRNAs in paired plasma and laser-captured microdissected immune-infiltrated islets of recently diabetic and normoglycaemic NOD mice. Moreover, we validated the findings during disease progression and remission...
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An improved random forest-based computational model for predicting novel miRNA-disease associations
8 days ago | By Springer
Abstract
Background
A large body of evidence shows that miRNA regulates the expression of its target genes at post-transcriptional level and the dysregulation of miRNA is related to many complex human diseases. Accurately discovering disease-related miRNAs is conductive to the exploring of the pathogenesis and treatment of diseases. However, because of the limitation of time-consuming and expensive experimental methods, predicting miRNA-disease associations by computational models has become a more economical and effective mean.
Results
Inspired by the work of predecessors, we proposed an...
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A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations
8 days ago | By Springer
Abstract
Background
In recent years, lncRNAs have been proved to be closely related to the occurrence and development of many serious diseases that are seriously harmful to human health. However, most of the lncRNA-disease associations have not been found yet due to high costs and time complexity of traditional bio-experiments. Hence, it is quite urgent and necessary to establish efficient and reasonable computational models to predict potential associations between lncRNAs and diseases.
Results
In this manuscript, a novel prediction model called TCSRWRLD is proposed to predict potential...
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RNA Biology Biologic Biological Computers Paper Therapies Obesity Immunity Gene Genes Human health HealthWorld Biotechnology Congress 2019
Hilaris Conferences is going to host its premier World Biotechnology Congress 2019 during October 01-02, 2019, Valencia, Spain. Biotechnology 2019 Congress aim to create a... Read more ...
World Biotechnology Congress 2019
Hilaris Conferences is going to host its premier World Biotechnology Congress 2019 during October 01-02, 2019, Valencia, Spain. Biotechnology 2019 Congress aim to create a... Read more ...
2nd International Conference on Tissue Science and Regenerative Medicine
This conference is designed for experts in academia and industries working in the tissue science and regenerative field, this conference will examine cutting-edge research in... Read more ...
How Thermo Fisher Scientific Streamlined Inspection Management With AuditUtopia®
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Cover Picture: Biotechnology Journal 12/2019
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A Peek into the Battery Technology Pipeline
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Zentalis Steps Out With $147M Raised to Develop “Tried and True” Small Molecules
Zentalis Pharmaceuticals is banking on small molecules for cancer-leaving the “cool technologies” aside for a “tried and true” approach, says the CEO, who wants to let the... Read more ...
Scripps Research, AbbVie Expand Drug Discovery Deal Beyond Cancer
The Scripps Research Institute and AbbVie have agreed to broaden an existing drug discovery agreement focused on cancer cell therapies to now encompass treatments for other... Read more ...