Download CGAS - Concepts From Computational Biology PDF Free - Full Version
Download CGAS - Concepts From Computational Biology by ['Micheal De Senta'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About CGAS - Concepts From Computational Biology
Computational Gastronomy is a data science that analyzes food, flavors, recipes, and their health impacts using computation. It has four major aspects of data: recipes and their ingredients, flavor profiles of ingredients, health associations of ingredients, and nutritional profiles. Potential applications include designing novel recipes by combining ingredients based on traditional recipes patterns, creating "culinary fingerprints" of recipes based on ingredient combinations, and personalized nutrition recommendations based on an individual's biomarkers and microbiome. The field uses data, statistics, and machine learning to gain new insights about food.
Detailed Information
| Author: | ['Micheal De Senta'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 105 |
| Language: | English |
| Format: | |
| Price: | FREE |
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