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PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach
(BMC, 2023)
BackgroundCell homeostasis relies on the concerted actions of genes, and dysregulated genes can lead to diseases. In living organisms, genes or their products do not act alone but within networks. Subsets of these networks ...
Performance Analysis of Machine Learning and Bioinformatics Applications on High Performance Computing Systems
(Akademik Perspektif Derneği, 2020)
Nowadays, it is becoming increasingly important to use the most efficient and most suitable computational resources for algorithmic tools that extract meaningful information from big data and make smart decisions. In this ...
EdgeAISim: A toolkit for simulation and modelling of AI models in edge computing environments
(ELSEVIER, 2024)
To meet next-generation Internet of Things (IoT) application demands, edge computing moves processing power
and storage closer to the network edge to minimize latency and bandwidth utilization. Edge computing is
becoming ...
Comparative analysis of machine learning approaches for predicting respiratory virus infection and symptom severity
(PEERJ INC, 2023)
Respiratory diseases are among the major health problems causing a burden on hospitals. Diagnosis of infection and rapid prediction of severity without time-consuming clinical tests could be beneficial in preventing the ...
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
(ELSEVIER, 2023)
COVID-19 was one of the deadliest and most infectious illnesses of this century. Research has been done to
decrease pandemic deaths and slow down its spread. COVID-19 detection investigations have utilised Chest
X-ray ...