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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027345 | PMC |
| http://dx.doi.org/10.3345/kjp.2019.00241 | DOI Listing |
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Identification of key genes and regulatory networks involved in the Comorbidity of atrial fibrillation and chronic obstructive pulmonary disease.
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Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Background: The underlying molecular processes of atrial fibrillation (AF) and chronic obstructive pulmonary disease (COPD) are frequently linked to increased morbidity and mortality when they co-occur. However, their underlying molecular mechanisms are questioned due to their incomplete analysis.
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Type 2 diabetes (T2D) is increasing relentlessly globally, affecting ever younger patients. Many T2D patients do not attain glycemic target levels, indicating a clear need for novel antihyperglycemic drugs. Ideally, these should not only control glycemia, but also halt or slow the progressive loss of beta cells.
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Background: miRNAs (microRNAs) are endogenous RNAs with lengths of 18 to 24 nucleotides and play critical roles in gene regulation and disease progression. Although traditional wet-lab experiments provide direct evidence for miRNA-disease associations, they are often time-consuming and complicated to analyze by current bioinformatics tools. In recent years, machine learning (ML) and deep learning (DL) techniques are powerful tools to analyze large-scale biological data.
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