Machine learning models for classification and identification of significant attributes to detect type 2 diabetes
Abstract Type 2 Diabetes (T2D) is a chronic disease characterized by abnormally high blood
glucose levels due to insulin resistance and reduced pancreatic insulin production. The …
glucose levels due to insulin resistance and reduced pancreatic insulin production. The …
Recent applications of bioinformatics in target identification and drug discovery for Alzheimer's disease
Alzheimer's disease (AD) is a complex multifactorial neurodegenerative disease
characterized by progressive memory loss. The main pathological features of the disease …
characterized by progressive memory loss. The main pathological features of the disease …
Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients
This study aimed to identify significant gene expression profiles of the human lung epithelial
cells caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections …
cells caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections …
Exploring gene regulatory interaction networks and predicting therapeutic molecules for hypopharyngeal cancer and EGFR‐mutated lung adenocarcinoma
Hypopharyngeal cancer gene regulatory networks and therapeutic molecules are a disease
that is associated with EGFR‐mutated lung adenocarcinoma. Here we utilized a …
that is associated with EGFR‐mutated lung adenocarcinoma. Here we utilized a …
[HTML][HTML] Detection of molecular signatures and pathways shared in inflammatory bowel disease and colorectal cancer: a bioinformatics and systems biology approach
Emerging evidence indicates IBD is a risk factor for the increasing incidence of colorectal
cancer (CRC) development. We used a system biology approach to identify common …
cancer (CRC) development. We used a system biology approach to identify common …
Identification of novel noninvasive diagnostics biomarkers in the Parkinson's diseases and improving the disease classification using support vector machine
Background. Parkinson's disease (PD) is a neurological disorder that is marked by the deficit
of neurons in the midbrain that changes motor and cognitive function. In the substantia nigra …
of neurons in the midbrain that changes motor and cognitive function. In the substantia nigra …
[HTML][HTML] Proteomics and its application in the research of acupuncture: An updated review
Z Zhong, MM Sun, M He, HP Huang, GY Hu, SQ Ma… - Heliyon, 2024 - Elsevier
As a complementary and alternative therapy, acupuncture is widely used in the prevention
and treatment of various diseases. However, the understanding of the mechanism of …
and treatment of various diseases. However, the understanding of the mechanism of …
[HTML][HTML] Detection of molecular signatures and pathways shared by Alzheimer's disease and type 2 diabetes
J Shu, N Li, W Wei, L Zhang - Gene, 2022 - Elsevier
Alzheimer's disease (AD) and type 2 diabetes (T2D) are common in the general elderly
population, conferring heavy individual, social, and economic stresses on families and …
population, conferring heavy individual, social, and economic stresses on families and …
Revealing genetic links of Type 2 diabetes that lead to the development of Alzheimer's disease
Background A factor leading to Alzheimer's Disease (AD), portrayed by peripheral insulin
resistance, is Type 2 diabetes mellitus (T2D). The likelihood of T2D cases would be at …
resistance, is Type 2 diabetes mellitus (T2D). The likelihood of T2D cases would be at …
Identification of Comorbidities, Genomic Associations, and Molecular Mechanisms for COVID‐19 Using Bioinformatics Approaches
Several studies have been done to identify comorbidities of COVID‐19. In this work, we
developed an analytical bioinformatics framework to reveal COVID‐19 comorbidities, their …
developed an analytical bioinformatics framework to reveal COVID‐19 comorbidities, their …