Pathway analysis of informative genes from microarray data reveals that metabolism and signal transduction genes distinguish different subtypes of lymphomas

C. Mircean; I. Tabus; T. Kobayashi; M. Yamaguchi; H. Shiku; I. Shmulevich; W. Zhang

Pathway analysis of informative genes from microarray data reveals that metabolism and signal transduction genes distinguish different subtypes of lymphomas

C. Mircean
, I. Tabus
, T. Kobayashi
, M. Yamaguchi
, H. Shiku
, I. Shmulevich
, W. Zhang

Research output: Contribution to journal › Article › Scientific › peer-review

6 Citations (Scopus)

Translated title of the contribution	Pathway analysis of informative genes from microarray data reveals that metabolism and signal transduction genes distinguish different subtypes of lymphomas
Original language	English
Pages (from-to)	497-504
Journal	International Journal of Oncology
Volume	24
Issue number	3
Publication status	Published - 2004
Publication type	A1 Journal article-refereed

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Cite this

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title = "Pathway analysis of informative genes from microarray data reveals that metabolism and signal transduction genes distinguish different subtypes of lymphomas",

author = "C. Mircean and I. Tabus and T. Kobayashi and M. Yamaguchi and H. Shiku and I. Shmulevich and W. Zhang",

note = "ISSN 1019-6439<br/>Contribution: organisation=sgn,FACT1=1",

year = "2004",

language = "English",

volume = "24",

pages = "497--504",

journal = "International Journal of Oncology",

issn = "1019-6439",

publisher = "Spandidos Publications",

number = "3",

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TY - JOUR

T1 - Pathway analysis of informative genes from microarray data reveals that metabolism and signal transduction genes distinguish different subtypes of lymphomas

AU - Mircean, C.

AU - Tabus, I.

AU - Kobayashi, T.

AU - Yamaguchi, M.

AU - Shiku, H.

AU - Shmulevich, I.

AU - Zhang, W.

N1 - ISSN 1019-6439<br/>Contribution: organisation=sgn,FACT1=1

PY - 2004

Y1 - 2004

M3 - Article

SN - 1019-6439

VL - 24

SP - 497

EP - 504

JO - International Journal of Oncology

JF - International Journal of Oncology

IS - 3

ER -