249 related articles for article (PubMed ID: 15217521)
1. Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes.
Jiang H; Deng Y; Chen HS; Tao L; Sha Q; Chen J; Tsai CJ; Zhang S
BMC Bioinformatics; 2004 Jun; 5():81. PubMed ID: 15217521
[TBL] [Abstract][Full Text] [Related]
2. Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data.
Wang J; Bø TH; Jonassen I; Myklebost O; Hovig E
BMC Bioinformatics; 2003 Dec; 4():60. PubMed ID: 14651757
[TBL] [Abstract][Full Text] [Related]
3. A robust tool for discriminative analysis and feature selection in paired samples impacts the identification of the genes essential for reprogramming lung tissue to adenocarcinoma.
Toh SH; Prathipati P; Motakis E; Kwoh CK; Yenamandra SP; Kuznetsov VA
BMC Genomics; 2011 Nov; 12 Suppl 3(Suppl 3):S24. PubMed ID: 22369099
[TBL] [Abstract][Full Text] [Related]
4. Development and Validation of an Individualized Immune Prognostic Signature in Early-Stage Nonsquamous Non-Small Cell Lung Cancer.
Li B; Cui Y; Diehn M; Li R
JAMA Oncol; 2017 Nov; 3(11):1529-1537. PubMed ID: 28687838
[TBL] [Abstract][Full Text] [Related]
5. Using logistic regression to improve the prognostic value of microarray gene expression data sets: application to early-stage squamous cell carcinoma of the lung and triple negative breast carcinoma.
Mount DW; Putnam CW; Centouri SM; Manziello AM; Pandey R; Garland LL; Martinez JD
BMC Med Genomics; 2014 Jun; 7():33. PubMed ID: 24916928
[TBL] [Abstract][Full Text] [Related]
6. Gene-expression profiles predict survival of patients with lung adenocarcinoma.
Beer DG; Kardia SL; Huang CC; Giordano TJ; Levin AM; Misek DE; Lin L; Chen G; Gharib TG; Thomas DG; Lizyness ML; Kuick R; Hayasaka S; Taylor JM; Iannettoni MD; Orringer MB; Hanash S
Nat Med; 2002 Aug; 8(8):816-24. PubMed ID: 12118244
[TBL] [Abstract][Full Text] [Related]
7. The molecular portraits of breast tumors are conserved across microarray platforms.
Hu Z; Fan C; Oh DS; Marron JS; He X; Qaqish BF; Livasy C; Carey LA; Reynolds E; Dressler L; Nobel A; Parker J; Ewend MG; Sawyer LR; Wu J; Liu Y; Nanda R; Tretiakova M; Ruiz Orrico A; Dreher D; Palazzo JP; Perreard L; Nelson E; Mone M; Hansen H; Mullins M; Quackenbush JF; Ellis MJ; Olopade OI; Bernard PS; Perou CM
BMC Genomics; 2006 Apr; 7():96. PubMed ID: 16643655
[TBL] [Abstract][Full Text] [Related]
8. A prognostic test for adenocarcinoma of the lung from gene expression profiling data.
Gordon GJ; Richards WG; Sugarbaker DJ; Jaklitsch MT; Bueno R
Cancer Epidemiol Biomarkers Prev; 2003 Sep; 12(9):905-10. PubMed ID: 14504202
[TBL] [Abstract][Full Text] [Related]
9. A simple two-gene prognostic model for adenocarcinoma of the lung.
Reed CE; Graham A; Hoda RS; Khoor A; Garrett-Mayer E; Wallace MB; Mitas M
J Thorac Cardiovasc Surg; 2008 Mar; 135(3):627-34. PubMed ID: 18329483
[TBL] [Abstract][Full Text] [Related]
10. Identification of gene signatures and molecular markers for human lung cancer prognosis using an in vitro lung carcinogenesis system.
Kadara H; Lacroix L; Behrens C; Solis L; Gu X; Lee JJ; Tahara E; Lotan D; Hong WK; Wistuba II; Lotan R
Cancer Prev Res (Phila); 2009 Aug; 2(8):702-11. PubMed ID: 19638491
[TBL] [Abstract][Full Text] [Related]
11. Unique microRNAs in lung adenocarcinoma groups according to major TKI sensitive EGFR mutation status.
Pak MG; Lee CH; Lee WJ; Shin DH; Roh MS
Diagn Pathol; 2015 Jul; 10():99. PubMed ID: 26170125
[TBL] [Abstract][Full Text] [Related]
12. SED, a normalization free method for DNA microarray data analysis.
Wang H; Huang H
BMC Bioinformatics; 2004 Sep; 5():121. PubMed ID: 15345033
[TBL] [Abstract][Full Text] [Related]
13. Signaling pathway-based identification of extensive prognostic gene signatures for lung adenocarcinoma.
Wan YW; Beer DG; Guo NL
Lung Cancer; 2012 Apr; 76(1):98-105. PubMed ID: 22047960
[TBL] [Abstract][Full Text] [Related]
14. Identification of common prognostic gene expression signatures with biological meanings from microarray gene expression datasets.
Yao J; Zhao Q; Yuan Y; Zhang L; Liu X; Yung WK; Weinstein JN
PLoS One; 2012; 7(9):e45894. PubMed ID: 23029298
[TBL] [Abstract][Full Text] [Related]
15. Non-overlapping and non-cell-type-specific gene expression signatures predict lung cancer survival.
Sun Z; Wigle DA; Yang P
J Clin Oncol; 2008 Feb; 26(6):877-83. PubMed ID: 18281660
[TBL] [Abstract][Full Text] [Related]
16. Survival prediction of stage I lung adenocarcinomas by expression of 10 genes.
Bianchi F; Nuciforo P; Vecchi M; Bernard L; Tizzoni L; Marchetti A; Buttitta F; Felicioni L; Nicassio F; Di Fiore PP
J Clin Invest; 2007 Nov; 117(11):3436-44. PubMed ID: 17948124
[TBL] [Abstract][Full Text] [Related]
17. Relation between smoking history and gene expression profiles in lung adenocarcinomas.
Staaf J; Jönsson G; Jönsson M; Karlsson A; Isaksson S; Salomonsson A; Pettersson HM; Soller M; Ewers SB; Johansson L; Jönsson P; Planck M
BMC Med Genomics; 2012 Jun; 5():22. PubMed ID: 22676229
[TBL] [Abstract][Full Text] [Related]
18. Gene expression profiling reveals reproducible human lung adenocarcinoma subtypes in multiple independent patient cohorts.
Hayes DN; Monti S; Parmigiani G; Gilks CB; Naoki K; Bhattacharjee A; Socinski MA; Perou C; Meyerson M
J Clin Oncol; 2006 Nov; 24(31):5079-90. PubMed ID: 17075127
[TBL] [Abstract][Full Text] [Related]
19. A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies.
Li Y; Ge D; Gu J; Xu F; Zhu Q; Lu C
BMC Cancer; 2019 Sep; 19(1):886. PubMed ID: 31488089
[TBL] [Abstract][Full Text] [Related]
20. Integrative microRNA and gene profiling data analysis reveals novel biomarkers and mechanisms for lung cancer.
Hu L; Ai J; Long H; Liu W; Wang X; Zuo Y; Li Y; Wu Q; Deng Y
Oncotarget; 2016 Feb; 7(8):8441-54. PubMed ID: 26870998
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
