Discovery of novel molecular classification schemes and genes predictive of outcome in leukemia

Research output: Contribution to journalArticlepeer-review

Abstract

In summary, supervised learning and computer learning algorithms are identifying new genes that may significantly contribute to the refinement of risk classification in acute leukemia and which may be further developed as diagnostic and therapeutic targets.

Original languageEnglish (US)
Pages (from-to)S138-S143
JournalHematology Journal
Volume5
Issue numberSUPPL. 3
DOIs
StatePublished - 2004

ASJC Scopus subject areas

  • Hematology

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