Prediction of Compound Profiling Matrices, Part II: Relative Performance of Multitask Deep Learning and Random Forest Classification on the Basis of Varying Amounts of Training Data
Sign Up to like & getrecommendations! Published in 2018 at "ACS Omega"
DOI: 10.1021/acsomega.8b01682
Abstract: Currently, there is a high level of interest in deep learning and multitask learning in many scientific fields including the life sciences and chemistry. Herein, we investigate the performance of multitask deep neural networks (MT-DNNs)… read more here.
Keywords: training data; multitask; prediction performance; performance ... See more keywords
Bioactive Compound Profiling of Olive Fruit: The Contribution of Genotype
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DOI: 10.3390/antiox11040672
Abstract: The health, therapeutic, and organoleptic characteristics of olive oil depend on functional bioactive compounds, such as phenols, tocopherols, squalene, and sterols. Genotype plays a key role in the diversity and concentration of secondary compounds peculiar… read more here.
Keywords: fruit contribution; profiling olive; fruit; bioactive compound ... See more keywords
Design and Volatile Compound Profiling of Starter Cultures for Yogurt Preparation
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DOI: 10.3390/foods12020379
Abstract: Stable symbiotic starter cultures were created using selected strains of Lactobacillus delbrueckii subsp. bulgaricus and Streptococcus salivarius subsp. thermophilus with antimicrobial activity against pathogens and necessary antibiotic sensitivity, growth kinetic parameters, and metabolic profiles. The… read more here.
Keywords: starter cultures; compound profiling; design volatile; volatile compound ... See more keywords