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Items: 4

1.
Identification of a set of genes associated with response to interleukin-2 and interferon-α combination therapy for renal cell carcinoma through genome-wide gene expression profiling
OSAMU MIZUMORI, HITOSHI ZEMBUTSU, YOICHIRO KATO, TATSUHIKO TSUNODA, FUYUKI MIYA, TAKASHI MORIZONO, TAIJI TSUKAMOTO, TOMOAKI FUJIOKA, YOSHIHIKO TOMITA, TADAICHI KITAMURA, SEIICHIRO OZONO, TSUNEHARU MIKI, SEIJI NAITO, HIDEYUKI AKAZA, YUSUKE NAKAMURA
Exp Ther Med. 2010 Nov-Dec; 1(6): 955–961. Published online 2010 Sep 10. doi: 10.3892/etm.2010.148
PMCID:
PMC3445972
AbstractArticlePDF–508K
2.
Gene Selection using a High-Dimensional Regression Model with Microarrays in Cancer Prognostic Studies
Shuhei Kaneko, Akihiro Hirakawa, Chikuma Hamada
Cancer Inform. 2012; 11: 29–39. Published online 2012 Feb 27. doi: 10.4137/CIN.S9048
PMCID:
PMC3298378
AbstractArticlePDF–1.1M
3.
Distinct gene subsets in pterygia formation and recurrence: dissecting complex biological phenomenon using genome wide expression data
Louis Tong, Jaime Chew, Henry Yang, Leonard PK Ang, Donald TH Tan, Roger W Beuerman
BMC Med Genomics. 2009; 2: 14. Published online 2009 Mar 10. doi: 10.1186/1755-8794-2-14
PMCID:
PMC2670830
AbstractArticlePDF–4.4M
4.
Bayesian profiling of molecular signatures to predict event times
Dabao Zhang, Min Zhang
Theor Biol Med Model. 2007; 4: 3. Published online 2007 Jan 19. doi: 10.1186/1742-4682-4-3
PMCID:
PMC1796541
AbstractArticlePDF–477K

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