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» Authors » Md Ali Hossain

Md Ali Hossain

Explore the profile of Md Ali Hossain including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 8
Citations 34
Followers 0
Related Specialties
Biology
Public Health
Environmental Health
Top 10 Co-Authors
Mohammad Ali Moni
Julian M W Quinn
Tania Akter Asa
Md Sohrawordi
M Zahidur Rahman
Naif Alotaibi
Salem A Alyami
Fazlul Huq
Md Palash Uddin
Md Nur Alam
Published In
Int J Environ Res Public Health
J Biomed Inform
Brief Bioinform
Biology (Basel)
Sensors (Basel)
Affiliations
Soon will be listed here.
Recent Articles
1.
An Integrated Framework to Identify Prognostic Biomarkers and Novel Therapeutic Targets in Hepatocellular Carcinoma-Based Disabilities
Rahman M, Das A, Naeem N, Jabeen-E-Tahnim , Hossain M, Alam M, et al.
Biology (Basel) . 2025 Jan; 13(12. PMID: 39765633
Hepatocellular carcinoma (HCC) is one of the most prevalent malignant tumors globally, significantly affecting liver functions, thus necessitating the identification of biomarkers and effective therapeutics to improve HCC-based disabilities. This...
2.
Identification of Biomarkers and Molecular Pathways Implicated in Smoking and COVID-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches
Hossain M, Rahman M, Bhuiyan T, Moni M
Int J Environ Res Public Health . 2024 Nov; 21(11). PMID: 39595659
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....
3.
The pathogenetic influence of smoking on SARS-CoV-2 infection: Integrative transcriptome and regulomics analysis of lung epithelial cells
Hossain M, Asa T, Auwul M, Aktaruzzaman M, Mahfizur Rahman M, Rahman M, et al.
Comput Biol Med . 2023 Apr; 159:106885. PMID: 37084641
Corona virus disease (COVID-19) has been emerged as pandemic infectious disease. The recent epidemiological data suggest that the smokers are more vulnerable to infection with COVID-19; however, the influence of...
4.
Mutual Information-Driven Feature Reduction for Hyperspectral Image Classification
Islam M, Ahmed B, Hossain M, Uddin M
Sensors (Basel) . 2023 Jan; 23(2). PMID: 36679453
A hyperspectral image (HSI), which contains a number of contiguous and narrow spectral wavelength bands, is a valuable source of data for ground cover examinations. Classification using the entire original...
5.
PLP_FS: prediction of lysine phosphoglycerylation sites in protein using support vector machine and fusion of multiple F_Score feature selection
Sohrawordi M, Hossain M, Hasan M
Brief Bioinform . 2022 Aug; 23(5). PMID: 35929355
A newly invented post-translational modification (PTM), phosphoglycerylation, has shown its essential role in the construction and functional properties of proteins and dangerous human diseases. Hence, it is very urgent to...
6.
Prediction of lysine formylation sites using support vector machine based on the sample selection from majority classes and synthetic minority over-sampling techniques
Sohrawordi M, Hossain M
Biochimie . 2021 Oct; 192:125-135. PMID: 34627982
Lysine formylation is a newly discovered and mostly interested type of post-translational modification (PTM) that is generally found on core and linker histone proteins of prokaryote and eukaryote and plays...
7.
Network-Based Genetic Profiling Reveals Cellular Pathway Differences Between Follicular Thyroid Carcinoma and Follicular Thyroid Adenoma
Hossain M, Asa T, Rahman M, Uddin S, Moustafa A, Quinn J, et al.
Int J Environ Res Public Health . 2020 Feb; 17(4). PMID: 32093341
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...
8.
Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality
Hossain M, Islam S, Quinn J, Huq F, Moni M
J Biomed Inform . 2019 Oct; 100:103313. PMID: 31655274
Ovarian cancer (OC) is a common cause of cancer death among women worldwide, so there is a pressing need to identify factors influencing OC mortality. Much OC patient clinical data...