Search Results - "Mahmud, S. M. Hasan"

Integrated Genomics Identifies Convergence of Ankylosing Spondylitis with Global Immune Mediated Disease Pathways by Uddin, Mohammed, Codner, Dianne, Mahmud Hasan, S M, Scherer, Stephen W, O’Rielly, Darren D, Rahman, Proton

“…Ankylosing spondylitis(AS), a highly heritable complex inflammatory arthritis. Although, a handful of non-HLA risk loci have been identified, capturing the…”
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DeepACTION: A deep learning-based method for predicting novel drug-target interactions by Hasan Mahmud, S.M., Chen, Wenyu, Jahan, Hosney, Dai, Bo, Din, Salah Ud, Dzisoo, Anthony Mackitz

“…Drug-target interactions (DTIs) play a key role in drug development and discovery processes. Wet lab prediction of DTIs is time-consuming, expensive, and…”
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Deep-WET: a deep learning-based approach for predicting DNA-binding proteins using word embedding techniques with weighted features by Mahmud, S. M. Hasan, Goh, Kah Ong Michael, Hosen, Md. Faruk, Nandi, Dip, Shoombuatong, Watshara

“…DNA-binding proteins (DBPs) play a significant role in all phases of genetic processes, including DNA recombination, repair, and modification. They are often…”
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Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients by Taz, Tasnimul Alam, Ahmed, Kawsar, Paul, Bikash Kumar, Al-Zahrani, Fahad Ahmed, Mahmud, S M Hasan, Moni, Mohammad Ali

“…Abstract This study aimed to identify significant gene expression profiles of the human lung epithelial cells caused by severe acute respiratory syndrome…”
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A Novel Bayesian Optimization-Based Machine Learning Framework for COVID-19 Detection From Inpatient Facility Data by Awal, Md. Abdul, Masud, Mehedi, Hossain, Md. Shahadat, Bulbul, Abdullah Al-Mamun, Mahmud, S. M. Hasan, Bairagi, Anupam Kumar

“…The whole world faces a pandemic situation due to the deadly virus, namely COVID-19. It takes considerable time to get the virus well-matured to be traced, and…”
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iDTi-CSsmoteB: Identification of Drug-Target Interaction Based on Drug Chemical Structure and Protein Sequence Using XGBoost With Over-Sampling Technique SMOTE by Mahmud, S. M. Hasan, Chen, Wenyu, Jahan, Hosney, Liu, Yongsheng, Sujan, Nasir Islam, Ahmed, Saeed

“…Identifying interaction between drug and protein is a crucial challenge in drug discovery, which can lead the researchers to develop novel drug compounds or…”
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Recent development of machine learning-based methods for the prediction of defensin family and subfamily by Charoenkwan, Phasit, Schaduangrat, Nalini, Mahmud, S M Hasan, Thinnukool, Orawit, Shoombuatong, Watshara

“…Nearly all living species comprise of host defense peptides called defensins, that are crucial for innate immunity. These peptides work by activating the…”
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Social Media as a Mirror: Reflecting Mental Health Through Computational Linguistics by Mobin, Md. Iftekharul, Suaib Akhter, A. F. M., Mridha, M. F., Hasan Mahmud, S. M., Aung, Zeyar

“…The world is grappling with a serious problem: many young individuals are taking their own lives. There is also a challenge in understanding the rising trend…”
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An Uninformed Decision-Making Process for Cesarean Section: A Qualitative Exploratory Study among the Slum Residents of Dhaka City, Bangladesh by Sultana, Jesmin, Sutradhar, Ipsita, Rahman, Musarrat Jabeen, Khan, Abdullah Nurus Salam, Chowdhury, Mohiuddin Ahsanul Kabir, Hasib, Enam, Chhetri, Charu, Mahmud, S M Hasan, Kashem, Tahsin, Kumar, Sanjeev, Myint, Zaw Toe, Rahman, Mahbubur, Huda, Tarique Md Nurul, Arifeen, Shams El, Billah, Sk Masum

“…The decision-making process and the information flow from physicians to patients regarding deliveries through cesarean section (C-section) has not been…”
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DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins by Hosen, Md. Faruk, Mahmud, S.M. Hasan, Ahmed, Kawsar, Chen, Wenyu, Moni, Mohammad Ali, Deng, Hong-Wen, Shoombuatong, Watshara, Hasan, Md Mehedi

“…Accurate identification of DNA-binding proteins (DBPs) is critical for both understanding protein function and drug design. DBPs also play essential roles in…”
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An Efficient Deep Learning Model to Infer User Demographic Information From Ratings by Liu, Yongsheng, Qu, Hong, Chen, Wenyu, Mahmud, S. M. Hasan

“…Obtaining demographics of online users is of great significance to Internet service providers and advertisers. Most previous works used standard machine…”
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A Novel Hybrid Approach for Classifying Osteosarcoma Using Deep Feature Extraction and Multilayer Perceptron by Aziz, Md Tarek, Mahmud, S M Hasan, Elahe, Md Fazla, Jahan, Hosney, Rahman, Md Habibur, Nandi, Dip, Smirani, Lassaad K, Ahmed, Kawsar, Bui, Francis M, Moni, Mohammad Ali

“…Osteosarcoma is the most common type of bone cancer that tends to occur in teenagers and young adults. Due to crowded context, inter-class similarity,…”
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Systems biology models to identify the influence of SARS-CoV-2 infections to the progression of human autoimmune diseases by Al-Mustanjid, Md, Mahmud, S. M. Hasan, Akter, Farzana, Rahman, Md Shazzadur, Hossen, Md Sajid, Rahman, Md Habibur, Moni, Mohammad Ali

“…Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been circulating since 2019, and its global dominance is rising. Evidences suggest the…”
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Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients by Mahmud, S M Hasan, Al-Mustanjid, Md, Akter, Farzana, Rahman, Md Shazzadur, Ahmed, Kawsar, Rahman, Md Habibur, Chen, Wenyu, Moni, Mohammad Ali

“…The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), better known as COVID-19, has become a current threat to humanity. The second wave of the…”
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Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients by Taz, Tasnimul Alam, Ahmed, Kawsar, Paul, Bikash Kumar, Kawsar, Md, Aktar, Nargis, Mahmud, S M Hasan, Moni, Mohammad Ali

“…Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is accountable for the cause of coronavirus disease (COVID-19) that causes a major threat…”
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PreDTIs: prediction of drug-target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques by Mahmud, S M Hasan, Chen, Wenyu, Liu, Yongsheng, Awal, Md Abdul, Ahmed, Kawsar, Rahman, Md Habibur, Moni, Mohammad Ali

“…Discovering drug-target (protein) interactions (DTIs) is of great significance for researching and developing novel drugs, having a tremendous advantage to…”
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Prediction of drug-target interaction based on protein features using undersampling and feature selection techniques with boosting by Mahmud, S.M. Hasan, Chen, Wenyu, Meng, Han, Jahan, Hosney, Liu, Yongsheng, Hasan, S.M. Mamun

“…Accurate identification of drug-target interaction (DTI) is a crucial and challenging task in the drug discovery process, having enormous benefit to the…”
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Detection of molecular signatures and pathways shared in inflammatory bowel disease and colorectal cancer: A bioinformatics and systems biology approach by Al-Mustanjid, Md, Mahmud, S.M. Hasan, Royel, Md. Rejaul Islam, Rahman, Md. Habibur, Islam, Tania, Rahman, Md. Rezanur, Moni, Mohammad Ali

“…Emerging evidence indicates IBD is a risk factor for the increasing incidence of colorectal cancer (CRC) development. We used a system biology approach to…”
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Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases by Rahman, Md Habibur, Rana, Humayan Kabir, Peng, Silong, Kibria, Md Golam, Islam, Md Zahidul, Mahmud, S M Hasan, Moni, Mohammad Ali

“…The Coronavirus Disease 2019 (COVID-19) still tends to propagate and increase the occurrence of COVID-19 across the globe. The clinical and epidemiological…”
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Data stream classification with novel class detection: a review, comparison and challenges by Din, Salah Ud, Shao, Junming, Kumar, Jay, Mawuli, Cobbinah Bernard, Mahmud, S. M. Hasan, Zhang, Wei, Yang, Qinli

“…Developing effective and efficient data stream classifiers is challenging for the machine learning community because of the dynamic nature of data streams. As…”
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