Disentangling the myeloma web

Giovanni Tonon, Kenneth C. Anderson

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Gene expression profiling in patients with multiple myeloma has identified gene signatures linked to prognosis. However, because of their heterogeneity, there is currently no consensus about which signatures represent the best predictive and prognostic markers. Novel computational tools are now helping investigators integrate heterogeneous data sets to identify universal and robust classifiers.

Original languageEnglish
Pages (from-to)7210-7212
Number of pages3
JournalClinical Cancer Research
Volume17
Issue number23
DOIs
Publication statusPublished - Dec 1 2011

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Gene Expression Profiling
Multiple Myeloma
Research Personnel
Genes
Datasets

ASJC Scopus subject areas

  • Cancer Research
  • Oncology

Cite this

Disentangling the myeloma web. / Tonon, Giovanni; Anderson, Kenneth C.

In: Clinical Cancer Research, Vol. 17, No. 23, 01.12.2011, p. 7210-7212.

Research output: Contribution to journalArticle

Tonon, Giovanni ; Anderson, Kenneth C. / Disentangling the myeloma web. In: Clinical Cancer Research. 2011 ; Vol. 17, No. 23. pp. 7210-7212.
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