Md Ali Hossain
Biographic Data
| ID | 7871897 |
|---|---|
| NAME | Md Ali Hossain |
| GIVEN NAMES | Md Ali |
| FAMILY NAME | Hossain |
| SIGNATURE | HOSSAIN M A |
| AFFILIATIONS | Manarat International University |
| ORCID | 0000-0002-4910-3858 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Identification of Biomarkers and Molecular Pathways Implicated in Smoking and Covid-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches
Lung cancer (LC) is a significant global health issue, with smoking as the most common cause. Recent epidemiological studies have suggested that individuals who smoke are more susceptible to COVID-19. In this study, we aimed to investigate the influence of smoking and COVID-19 on LC using bioinformatics and machine learning approaches. We compared the differentially expressed genes (DEGs) between LC, smoking, and COVID-19 datasets and identified …
Network-Based Genetic Profiling Reveals Cellular Pathway Differences Between Follicular Thyroid Carcinoma and Follicular Thyroid Adenoma
Molecular mechanisms underlying the pathogenesis and progression of malignant thyroid cancers, such as follicular thyroid carcinomas (FTCs), and how these differ from benign thyroid lesions, are poorly understood. In this study, we employed network-based integrative analyses of FTC and benign follicular thyroid adenoma (FTA) lesion transcriptomes to identify key genes and pathways that differ between them. We first analysed a microarray gene expr…
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Network-Based Genetic Profiling Reveals Cellular Pathway Differences Between Follicular Thyroid Carcinoma and Follicular Thyroid Adenoma
Molecular mechanisms underlying the pathogenesis and progression of malignant thyroid cancers, such as follicular thyroid carcinomas (FTCs), and how these differ from benign thyroid lesions, are poorly understood. In this study, we employed network-based integrative analyses of FTC and benign follicular thyroid adenoma (FTA) lesion transcriptomes to identify key genes and pathways that differ between them. We first analysed a microarray gene expr…
Identification of Biomarkers and Molecular Pathways Implicated in Smoking and Covid-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches
Lung cancer (LC) is a significant global health issue, with smoking as the most common cause. Recent epidemiological studies have suggested that individuals who smoke are more susceptible to COVID-19. In this study, we aimed to investigate the influence of smoking and COVID-19 on LC using bioinformatics and machine learning approaches. We compared the differentially expressed genes (DEGs) between LC, smoking, and COVID-19 datasets and identified …
Bioinformatics and Genomic Networks (2 works) · Biology (2 works) · Computational biology (2 works) · Ferroptosis and cancer prognosis (2 works) · Gene (2 works) · Gene expression (2 works) · Genetics (2 works) · Bioinformatics (1 work) · Cancer Research (1 work) · Cell cycle (1 work)