Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Saifuddin Khaled"'
Autor:
Hossain, Tanvir, Saifuddin, Khaled Mohammed, Islam, Muhammad Ifte Khairul, Tanvir, Farhan, Akbas, Esra
Graph Neural Network (GNN) achieves great success for node-level and graph-level tasks via encoding meaningful topological structures of networks in various domains, ranging from social to biological networks. However, repeated aggregation operations
Externí odkaz:
http://arxiv.org/abs/2407.11928
Predicting events such as political protests, flu epidemics, and criminal activities is crucial to proactively taking necessary measures and implementing required responses to address emerging challenges. Capturing contextual information from textual
Externí odkaz:
http://arxiv.org/abs/2404.15612
Autor:
Tanvir, Farhan, Saifuddin, Khaled Mohammed, Hossain, Tanvir, Bagavathi, Arunkumar, Akbas, Esra
Modeling the interactions between drugs, targets, and diseases is paramount in drug discovery and has significant implications for precision medicine and personalized treatments. Current approaches frequently consider drug-target or drug-disease inte
Externí odkaz:
http://arxiv.org/abs/2312.00189
Hypergraphs, with their capacity to depict high-order relationships, have emerged as a significant extension of traditional graphs. Although Graph Neural Networks (GNNs) have remarkable performance in graph representation learning, their extension to
Externí odkaz:
http://arxiv.org/abs/2310.09657
Autor:
Saifuddin, Khaled Mohammed, May, Corey, Tanvir, Farhan, Islam, Muhammad Ifte Khairul, Akbas, Esra
Sequence classification has a wide range of real-world applications in different domains, such as genome classification in health and anomaly detection in business. However, the lack of explicit features in sequence data makes it difficult for machin
Externí odkaz:
http://arxiv.org/abs/2303.02393
Polypharmacy, defined as the use of multiple drugs together, is a standard treatment method, especially for severe and chronic diseases. However, using multiple drugs together may cause interactions between drugs. Drug-drug interaction (DDI) is the a
Externí odkaz:
http://arxiv.org/abs/2207.05672
Drug-Drug Interactions (DDIs) may hamper the functionalities of drugs, and in the worst scenario, they may lead to adverse drug reactions (ADRs). Predicting all DDIs is a challenging and critical problem. Most existing computational models integrate
Externí odkaz:
http://arxiv.org/abs/2206.12747
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics; September 2024, Vol. 21 Issue: 5 p1168-1179, 12p
Autor:
Mst. Noorjahan Begum, Mohammad Jubair, Kamrun Nahar, Sezanur Rahman, Muhammad Talha, Md Safiullah Sarker, A K M Nasir Uddin, Saifuddin Khaled, Mohammed Shehab Uddin, Zhibiao Li, Tianlin Ke, Mohammed Ziaur Rahman, Mustafizur Rahman
Publikováno v:
Journal of Clinical Laboratory Analysis. 36
Globally, real-time reverse transcription-polymerase chain reaction (rRT-PCR) is the reference detection technique for SARS-CoV-2, which is expensive, time consuming, and requires trained laboratory personnel. Thus, a cost-effective, rapid antigen te
Publikováno v:
Chattagram Maa-O-Shishu Hospital Medical College Journal. 15:21-24
Background: The rising prevalence of obesity in developing countries is largely due to rapid urbanization and mechanization which has led to reduction in the energy expenditure. It is accompanied along with an increase in energy intake due to increas