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Cutting Edge Artificial Intelligence, Spatial Transcriptomics and Proteomics Approaches to Analyze Cancer

- Volume 163

Om Cutting Edge Artificial Intelligence, Spatial Transcriptomics and Proteomics Approaches to Analyze Cancer

Cutting Edge Artificial Intelligence, Spatial Transcriptomics and Proteomics Approaches to Analyze Cancer, Volume 163 in the Advances in Cancer Research series, highlights new advances in the field, with this new volume presenting interesting topics on the Impact of thermal processing on food flavonoids, Bioinformatics and bioactive peptides from foods: does it work together?, Food off-flavor volatiles generation, characterization and advances in novel strategies for mitigating off-flavor perception, Innovations in Food Packaging for a Sustainable and Circular economy, Upcycling of seafood side streams for circularity, Edible insects in foods, Effect of novel food processing technologies on Bacillus cereus spores, and more.

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  • Språk:
  • Engelska
  • ISBN:
  • 9780443296505
  • Format:
  • Inbunden
  • Utgiven:
  • 1. september 2024
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 17. december 2024

Beskrivning av Cutting Edge Artificial Intelligence, Spatial Transcriptomics and Proteomics Approaches to Analyze Cancer

Cutting Edge Artificial Intelligence, Spatial Transcriptomics and Proteomics Approaches to Analyze Cancer, Volume 163 in the Advances in Cancer Research series, highlights new advances in the field, with this new volume presenting interesting topics on the Impact of thermal processing on food flavonoids, Bioinformatics and bioactive peptides from foods: does it work together?, Food off-flavor volatiles generation, characterization and advances in novel strategies for mitigating off-flavor perception, Innovations in Food Packaging for a Sustainable and Circular economy, Upcycling of seafood side streams for circularity, Edible insects in foods, Effect of novel food processing technologies on Bacillus cereus spores, and more.

Användarnas betyg av Cutting Edge Artificial Intelligence, Spatial Transcriptomics and Proteomics Approaches to Analyze Cancer



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