A5089667219- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- COVID-19 Clinical Research Studies
- Tryptophan and brain disorders
- Frailty in Older Adults
- SARS-CoV-2 and COVID-19 Research
- Chronic Disease Management Strategies
- Smart Agriculture and AI
- Wireless Sensor Networks and IoT
- Computational Drug Discovery Methods
- Lipoproteins and Cardiovascular Health
- Ferroptosis and cancer prognosis
- Long-Term Effects of COVID-19
- Cytokine Signaling Pathways and Interactions
Noakhali Science and Technology University
2022-2024
Several studies have been done to identify comorbidities of COVID-19. In this work, we developed an analytical bioinformatics framework reveal COVID-19 comorbidities, their genomic associations, and molecular mechanisms accomplishing transcriptomic analyses the RNA-seq datasets provided by Gene Expression Omnibus (GEO) database, where normal infected tissues were evaluated. Using framework, identified 27 correlated diseases out 7,092 collected diseases. Analyzing clinical epidemiological...
In the face of a burgeoning global population exceeding seven billion and dwindling agricultural land, plants remain pivotal for sustaining human civilization's food needs. However, plant health is threatened by various diseases, particularly leaf ailments like spots, bacterial infections, black spots. These afflictions, predominantly caused bacteria fungi, jeopardize crop yields. Timely disease detection imperative safeguarding productivity. This study introduces novel hybrid approach...
Cardiovascular disease (CVD) is the combination of coronary heart disease, myocardial infarction, rheumatic and peripheral vascular blood vessels. It one leading deadly diseases that causes one-third deaths yearly in globe. Additionally, risk factors associated with it make situation more complex for cardiovascular patients, which lead them towards mortality, but genetic association between CVD its not clearly explored global literature. We addressed this issue linkage factors.We developed...
The coronavirus disease (COVID-19) caused by SARS-COV-2, a highly infectious pathogen, genetically similar to SARS-COV is an unprecedented worldwide health crisis. Rapidly accumulating clinical research revealed that COVID-19 manifested various neurological symptoms and also affects the brain in many ways including direct infection systemic inflammation. Which indicates it may substantially increase incidence of developing neurodegenerative diseases (NDGDs). To discourse this issue we...
Glioblastoma, also known as grade IV astrocytoma, is an aggressive and quickly developing brain tumor whose median survival period believed to be between 12 18 months. Patients with glioblastoma are at high risk of comorbidities like leukemia, atherosclerosis, autism, sudden cardiac death, pancreatic neoplasms. Identification influential biomarker genes crucial diagnose design therapeutic targets for cancer. To do this, we considered The Cancer Genome Atlas (TCGA) dataset identify the...
Comorbidity is the co-existence of one or more diseases that occur concurrently after primary disease.Patients may have developed comorbidities for COVID-19 cause harm to patient's organs.Besides, patients with existing are at high risk, since mortality rates strongly influenced by former health conditions.Therefore, we a computational and bioinformatics model identify utilizing transcriptome datasets whole blood cells.In our model, employed gene expression analysis dysregulated genes...
Lung cancer (LC) is a kind of that develops in lung tissues, most often the cells line airways. It second severe disease world, and making predictions about it hardest thing to do right now. As overlap with each other, difficult detect cells. However, very important find their early stages. Understanding molecular pathways behind how LC starts spreads can help diagnosis, treatment, figuring out likely get better. still insufficient, more research needed this regard. In case treatment for LC,...
The most malignant tumor of the large intestine is colorectal cancer (CRC), initially, some polyps grow inside and become CRC with flow time. In case treatment for cancer, influential genes (IFGs) identification necessary. However, it still insufficient, more research needed in this regard. Thus, to further contributions, we have taken Cancer Genome Atlas (TCGA) data-set detect IFGs using Kruskal-Wallis H test Bonferroni correction methods. Then successfully identified 14 from 17518 fold...