From big data to predictive analysis from In Vitro systems

Andre Kleensang, Alexandra Maertens, Thomas Hartung

Research output: Chapter in Book/Report/Conference proceedingChapter

Original languageEnglish (US)
Title of host publicationRegenerative Medicine Technology
Subtitle of host publicationOn-a-Chip Applications for Disease Modeling, Drug Discovery and Personalized Medicine
PublisherCRC Press
Pages85-101
Number of pages17
ISBN (Electronic)9781498711920
ISBN (Print)9781498711913
DOIs
StatePublished - Nov 30 2016

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Big data
Predictive analytics

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Kleensang, A., Maertens, A., & Hartung, T. (2016). From big data to predictive analysis from In Vitro systems. In Regenerative Medicine Technology: On-a-Chip Applications for Disease Modeling, Drug Discovery and Personalized Medicine (pp. 85-101). CRC Press. https://doi.org/10.1201/9781315371344

From big data to predictive analysis from In Vitro systems. / Kleensang, Andre; Maertens, Alexandra; Hartung, Thomas.

Regenerative Medicine Technology: On-a-Chip Applications for Disease Modeling, Drug Discovery and Personalized Medicine. CRC Press, 2016. p. 85-101.

Research output: Chapter in Book/Report/Conference proceedingChapter

Kleensang, A, Maertens, A & Hartung, T 2016, From big data to predictive analysis from In Vitro systems. in Regenerative Medicine Technology: On-a-Chip Applications for Disease Modeling, Drug Discovery and Personalized Medicine. CRC Press, pp. 85-101. https://doi.org/10.1201/9781315371344
Kleensang A, Maertens A, Hartung T. From big data to predictive analysis from In Vitro systems. In Regenerative Medicine Technology: On-a-Chip Applications for Disease Modeling, Drug Discovery and Personalized Medicine. CRC Press. 2016. p. 85-101 https://doi.org/10.1201/9781315371344
Kleensang, Andre ; Maertens, Alexandra ; Hartung, Thomas. / From big data to predictive analysis from In Vitro systems. Regenerative Medicine Technology: On-a-Chip Applications for Disease Modeling, Drug Discovery and Personalized Medicine. CRC Press, 2016. pp. 85-101
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