publication . Article . 2021

Machine learning ATR-FTIR spectroscopy data for the screening of collagen for ZooMS analysis and mtDNA in archaeological bone

Manasij Pal Chowdhury; Kaustabh Datta Choudhury; Geneviève Pothier Bouchard; Julien Riel-Salvatore; Fabio Negrino; Stefano Benazzi; Ludovic Slimak; Brenna Frasier; Vicki Szabo; Ramona Harrison; ...
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  • Published: 18 Jan 2021
  • Country: Italy
Abstract
Abstract Faunal remains from archaeological sites allow for the identification of animal species that enables the better understanding of the relationships between humans and animals, not only from their morphological information, but also from the ancient biomolecules (lipids, proteins, and DNA) preserved in these remains for thousands and even millions of years. However, due to the costs and efforts required for ancient biomolecular analysis, there has been considerable research into development of accurate and efficient screening approaches for archaeological remains. FTIR spectroscopy is one such approach that has been considered for screening of proteins, b...
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Subjects
free text keywords: Ancient biomolecules, Screening, Machine learning, Random forest, ATR-FTIR, DNA, ZooMS, Archaeology, History, Zooarchaeology, Geography, Screening method, Archaeology, Artificial intelligence, business.industry, business, Ancient DNA, Animal species, Machine learning, computer.software_genre, computer, Mitochondrial DNA, Atr ftir spectroscopy
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