Publications by authors named "Amanda A Oliva Hernandez"
Article Synopsis
- The Zika virus (ZIKV), primarily spread by mosquitoes, poses significant health challenges, especially in impoverished tropical areas; understanding its spread is crucial for control efforts.
- This study utilized unsupervised machine learning techniques, particularly Random Forest and various dimensional reduction methods, to analyze ZIKV protein data and identify patterns without prior training information.
- Results revealed distinct host and geographical clusters for ZIKV, with UMAP being particularly effective; these methods could help track viral pathogens and could be adapted for studying other viruses like dengue.
Alopecia Areata (AA) is a multifactorial, dermatological disease characterized by non-scarring hair loss. Alterations in candidate genes, such as (Hairless), could represent a risk factor for its development. The aim of this study was to search for and analyze variants in exons 3, 15 and 17 of the gene in Mexican patients with AA.
View Article and Find Full Text PDFMezcal is a distillate produced by spontaneous fermentation of the must obtained from stalks of spp. plants that are cooked and pressed. Agave must contains a high amount of fructose and phenolic compounds, and fermentation usually occurs under stressful (and uncontrolled) environmental conditions.
View Article and Find Full Text PDFMezcal from Tamaulipas (México) is produced by spontaneous alcoholic fermentation using Agave spp. musts, which are rich in fructose. In this study eight Saccharomyces cerevisiae isolates obtained at the final stage of fermentation from a traditional mezcal winery were analysed in three semi-synthetic media.
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