Publications by authors named "Mickael Fabregue"
Article Synopsis
- The study aimed to uncover the local weather factors influencing dengue fever outbreaks in French Guiana using innovative data mining techniques.
- It found that key climatic factors like temperature, humidity, and rainfall significantly affect dengue incidence, with strong correlations occurring after a 4-6 week delay.
- The research highlights the potential of data mining to enhance understanding of infectious disease spread, suggesting that future studies should include more factors and consider neighborhood impacts on these patterns.
Background: The aim of this study was to develop an original method to extract sets of relevant molecular biomarkers (gene sequences) that can be used for class prediction and can be included as prognostic and predictive tools.
Materials And Methods: The method is based on sequential patterns used as features for class prediction. We applied it to classify breast cancer tumors according to their histological grade.