PREDICTING NOVEL FEATURES OF TOLL-LIKE RECEPTOR 3 SIGNALING IN MACROPHAGES.


Transcriptomic Profiling of Duodenal Epithelium Reveals Temporally Dynamic Impacts of Direct Duodenal Starch-Infusion During Dry Period of Dairy Cattle

Previous research has demonstrated a positive relationship between dietary Metabolisable Energy Intake (MEI) and increased maintenance energy costs associated with the visceral tissues.Limitations in understanding this relationship include a lack of access to samples to assess regulatory control of the putative response gastrointestinal tissues to

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Predicting Single Cell Lag Time and Maximum Specific Growth Rate of Proteus mirabilis using Curve Fitting Machine Learning Algorithm (MLA)

The lack of adequate assessment methods for pathogens especially in food is a critical problem in microbiology.Traditional predictive methods are not able to accurately describe the trend of low-density bacterial growth behavior observed in the laboratory.The purpose of this study was to leverage state-of-the-art of machine learning algorithms (MLA

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