articleTop 1% cited

Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning

Nature Medicine · 2002 · Vol. 8(1) · pp. 68–74

Margaret A. Shipp✉(Harvard University)Ken N. Ross(Whitehead Institute for Biomedical Research)Pablo Tamayo(Massachusetts Institute of Technology)Andrew P. Weng(Brigham and Women's Hospital)Jeffery L. Kutok(Harvard University)Ricardo C.T. Aguiar(Dana-Farber Cancer Institute)Michelle Gaasenbeek(Whitehead Institute for Biomedical Research)Michael Angelo(Whitehead Institute for Biomedical Research)Michael Reich(Massachusetts Institute of Technology)Geraldine S. Pinkus(Harvard University)Tane S. Ray(University of the West Indies)Margaret A. Koval(Harvard University)Kim Last(St Bartholomew's Hospital)A. J. Norton(St Bartholomew's Hospital)T. Andrew Lister(St Bartholomew's Hospital)Jill P. Mesirov(Whitehead Institute for Biomedical Research)Donna Neuberg(Dana-Farber Cancer Institute)Eric S. Lander(Whitehead Institute for Biomedical Research)Jon C. Aster(Harvard University)Todd R. Golub(Harvard University)

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Lymphoma Diagnosis and Treatment Cancer-related gene regulation Ubiquitin and proteasome pathwaysInternational Prognostic IndexLymphomaOncologyVincristineDiffuse large B-cell lymphomaPrednisoneCyclophosphamideMedicineInternal medicineGene expression profiling

MeSH terms

Antineoplastic Combined Chemotherapy ProtocolsArtificial IntelligenceCyclophosphamideDoxorubicinHumansPredictive Value of TestsPrednisoneVincristineLymphoma, B-CellLymphoma, Large B-Cell, DiffuseTreatment OutcomeOligonucleotide Array Sequence AnalysisGene Expression Profiling

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