Chemometrics meets cytometry

Analysis of multivariate spectral data to organize and discriminate biological information

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)660-662
Number of pages3
JournalCytometry Part A
Volume85
Issue number8
DOIs
Publication statusPublished - 2014

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Neoplasm Drug Resistance
Deoxycytidine
Synchrotrons
Fourier Transform Infrared Spectroscopy
Principal Component Analysis
Multivariate Analysis

Keywords

  • Chemometry
  • Fourier transform infrared spectroscopy
  • Principal component analysis
  • Singular value decomposition

ASJC Scopus subject areas

  • Cell Biology
  • Histology
  • Pathology and Forensic Medicine
  • Medicine(all)

Cite this

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title = "Chemometrics meets cytometry: Analysis of multivariate spectral data to organize and discriminate biological information",
keywords = "Chemometry, Fourier transform infrared spectroscopy, Principal component analysis, Singular value decomposition",
author = "B. Szalontai and L. Zim{\'a}nyi",
year = "2014",
doi = "10.1002/cyto.a.22493",
language = "English",
volume = "85",
pages = "660--662",
journal = "Cytometry. Part A : the journal of the International Society for Analytical Cytology",
issn = "1552-4922",
publisher = "Wiley-Liss Inc.",
number = "8",

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AU - Zimányi, L.

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KW - Fourier transform infrared spectroscopy

KW - Principal component analysis

KW - Singular value decomposition

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DO - 10.1002/cyto.a.22493

M3 - Article

VL - 85

SP - 660

EP - 662

JO - Cytometry. Part A : the journal of the International Society for Analytical Cytology

JF - Cytometry. Part A : the journal of the International Society for Analytical Cytology

SN - 1552-4922

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