4.7 Article

CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data

期刊

BIOINFORMATICS
卷 28, 期 18, 页码 2400-2401

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bts425

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资金

  1. Rachford and Carlota A. Harris Endowed Professorship
  2. National Institutes of Health [U19AI057229, P01 CA034233, HHSN272200700038C, 1R01CA130826, CIRM DR1-01477, RB2-01592]
  3. NCI RFA CA [09-011]
  4. European Commission [HEALTH.2010.1.2-1]
  5. Bill and Melinda Gates Foundation [GF12141-137101]
  6. NLM Training Grant [5T15LM007033-27]
  7. [NHLBI-HV-10-05(2)]

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Motivation: Recent advances in flow cytometry enable simultaneous single-cell measurement of 30+ surface and intracellular proteins. CytoSPADE is a high-performance implementation of an interface for the Spanning-tree Progression Analysis of Density-normalized Events algorithm for tree-based analysis and visualization of this high-dimensional cytometry data.

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