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Discovering Potential Taxonomic Biomarkers of Type 2 Diabetes From Human Gut Microbiota via Different Feature Selection Methods
(FRONTIERS MEDIA SAAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND, 2021)
Human gut microbiota is a complex community of organisms including trillions of bacteria. While these microorganisms are considered as essential regulators of our immune system, some of them can cause several diseases. In ...
miRdisNET: Discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning
(Frontiers Media S.A., 2023)
During recent years, biological experiments and increasing evidence have shown that microRNAs play an important role in the diagnosis and treatment of human complex diseases. Therefore, to diagnose and treat human complex ...
Man-hour Prediction for Complex Industrial Products
(Institute of Electrical and Electronics Engineers Inc., 2023)
Accurately predicting the cost is crucial for the
success of complex industrial projects. There can be several
sources contributing to the cost. Traditional methods for cost
estimation may not provide the required ...
A toolbox of machine learning software to support microbiome analysis
(Frontiers Media SA, 2023)
The human microbiome has become an area of intense research due to its
potential impact on human health. However, the analysis and interpretation
of this data have proven to be challenging due to its complexity and ...
A Computational Drug Repositioning Effort using Patients' Reviews Dataset
(Institute of Electrical and Electronics Engineers Inc., 2023)
The drug discovery process is one of the core
motivations in both medical and, specifically, pharmaceutical
disciplines. Due to the nature of the process, it requires an
excessive amount of time, clinical experiments, ...
Linear vs. Non-Linear Embedding Methods in Recommendation Systems
(Institute of Electrical and Electronics Engineers Inc., 2022)
Predicting customer interest in items is very crucial in direct marketing as it can potentially boost sales. Data mining techniques are developed to predict which items a particular user might be interested in based on ...