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Specialty: Genetics & Stem Cells
Source: Frontiers in Genetics
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Total 7 results found since Jan 2013.

Discovering Cerebral Ischemic Stroke Associated Genes Based on Network Representation Learning
Cerebral ischemic stroke (IS) is a complex disease caused by multiple factors including vascular risk factors, genetic factors, and environment factors, which accentuates the difficulty in discovering corresponding disease-related genes. Identifying the genes associated with IS is critical for understanding the biological mechanism of IS, which would be significantly beneficial to the diagnosis and clinical treatment of cerebral IS. However, existing methods to predict IS-related genes are mainly based on the hypothesis of guilt-by-association (GBA). These methods cannot capture the global structure information of the whol...
Source: Frontiers in Genetics - September 1, 2021 Category: Genetics & Stem Cells Source Type: research

RNA methylation pattern and immune microenvironment characteristics mediated by m6A regulator in ischemic stroke
Conclusion: The modification of m6A is closely related to the immune microenvironment. The evaluation of individual m6A modification pattern may be helpful for future immunomodulatory therapy of anti-ischemic response.
Source: Frontiers in Genetics - April 17, 2023 Category: Genetics & Stem Cells Source Type: research

A Novel Deep Neural Network Model for Multi-Label Chronic Disease Prediction
Conclusions concludes this work along with future work. Dataset and Data Preprocessing In the work, we mainly focus on multiple chronic disease classification. It can be formulated into a multi-label classification problem. There are three common chronic diseases are selected from the physical examination records: hypertension (H), diabetes (D), and fatty liver (FL). In the experiments, the physical examination datasets are collected from a local medical center, which contain 110,300 physical examination records from about 80,000 anonymous patients (Li et al., 2017a,b). Sixty-two feature items are selected from over 100...
Source: Frontiers in Genetics - April 23, 2019 Category: Genetics & Stem Cells Source Type: research

The Promoter Regions of Intellectual Disability-Associated Genes Are Uniquely Enriched in LTR Sequences of the MER41 Primate-Specific Endogenous Retrovirus: An Evolutionary Connection Between Immunity and Cognition
Discussion We have found that, in the human genome, the promoter regions of ID-associated genes are uniquely enriched in MER41 LTRs. More specifically, nine ID-associated genes that are putatively important in cognitive evolution exhibit MER41 LTRs in their promoter regions. As more than 100 families of HERV are integrated into our genome, it was important to determine whether our findings are specific to MER41 and to ID-associated genes, and if so to what extent. Among the 133 families of HERV explored here, MER41 is the only family whose LTRs were found with statistically high frequency in the promoter regions of ID-ass...
Source: Frontiers in Genetics - April 11, 2019 Category: Genetics & Stem Cells Source Type: research

Sex Difference of Radiation Response in Occupational and Accidental Exposure
Conclusion and Outlook This review summarizes the data from major human studies on the health risks of radiation exposure and shows that sex can potentially influence the prolonged response to radiation exposure (Figure 1 and Tables 1, 2). These data suggest that long-term radiosensitivity in females is higher than that in males who receive a comparable dose of radiation. Our analysis of the literature agrees with the conclusions of the recent report on the Biological effects of ionizing radiation (BEIR VII) published in 2006 by the National Academy of Sciences (NAS), United States (National Research Council, 2006). The B...
Source: Frontiers in Genetics - May 2, 2019 Category: Genetics & Stem Cells Source Type: research

An Improved Deep Learning Model: S-TextBLCNN for Traditional Chinese Medicine Formula Classification
Conclusion: The combination of formula feature representation and the S-TextBLCNN model improve the accuracy in formula efficacy classification. It provides a new research idea for the study of TCM formula compatibility.
Source: Frontiers in Genetics - December 22, 2021 Category: Genetics & Stem Cells Source Type: research

Ensemble-AHTPpred: A Robust Ensemble Machine Learning Model Integrated With a New Composite Feature for Identifying Antihypertensive Peptides
Hypertension or elevated blood pressure is a serious medical condition that significantly increases the risks of cardiovascular disease, heart disease, diabetes, stroke, kidney disease, and other health problems, that affect people worldwide. Thus, hypertension is one of the major global causes of premature death. Regarding the prevention and treatment of hypertension with no or few side effects, antihypertensive peptides (AHTPs) obtained from natural sources might be useful as nutraceuticals. Therefore, the search for alternative/novel AHTPs in food or natural sources has received much attention, as AHTPs may be functiona...
Source: Frontiers in Genetics - April 28, 2022 Category: Genetics & Stem Cells Source Type: research