210 related articles for article (PubMed ID: 17245808)
1. Proteomic biomarker identification for diagnosis of early relapse in ovarian cancer.
Oh JH; Nandi A; Gurnani P; Knowles L; Schorge J; Rosenblatt KP; Gao JX
J Bioinform Comput Biol; 2006 Dec; 4(6):1159-79. PubMed ID: 17245808
[TBL] [Abstract][Full Text] [Related]
2. Diagnosis of early relapse in ovarian cancer using serum proteomic profiling.
Oh JH; Gao J; Nandi A; Gurnani P; Knowles L; Schorge J
Genome Inform; 2005; 16(2):195-204. PubMed ID: 16901102
[TBL] [Abstract][Full Text] [Related]
3. Development of two-stage SVM-RFE gene selection strategy for microarray expression data analysis.
Tang Y; Zhang YQ; Huang Z
IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(3):365-81. PubMed ID: 17666757
[TBL] [Abstract][Full Text] [Related]
4. Multiple SVM-RFE for gene selection in cancer classification with expression data.
Duan KB; Rajapakse JC; Wang H; Azuaje F
IEEE Trans Nanobioscience; 2005 Sep; 4(3):228-34. PubMed ID: 16220686
[TBL] [Abstract][Full Text] [Related]
5. Feature selection and nearest centroid classification for protein mass spectrometry.
Levner I
BMC Bioinformatics; 2005 Mar; 6():68. PubMed ID: 15788095
[TBL] [Abstract][Full Text] [Related]
6. Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE.
Niijima S; Kuhara S
BMC Bioinformatics; 2006 Dec; 7():543. PubMed ID: 17187691
[TBL] [Abstract][Full Text] [Related]
7. Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data.
Yu JS; Ongarello S; Fiedler R; Chen XW; Toffolo G; Cobelli C; Trajanoski Z
Bioinformatics; 2005 May; 21(10):2200-9. PubMed ID: 15784749
[TBL] [Abstract][Full Text] [Related]
8. Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data.
Zhang X; Lu X; Shi Q; Xu XQ; Leung HC; Harris LN; Iglehart JD; Miron A; Liu JS; Wong WH
BMC Bioinformatics; 2006 Apr; 7():197. PubMed ID: 16606446
[TBL] [Abstract][Full Text] [Related]
9. Application of the GA/KNN method to SELDI proteomics data.
Li L; Umbach DM; Terry P; Taylor JA
Bioinformatics; 2004 Jul; 20(10):1638-40. PubMed ID: 14962943
[TBL] [Abstract][Full Text] [Related]
10. Guilt-by-association feature selection: identifying biomarkers from proteomic profiles.
Shin H; Sheu B; Joseph M; Markey MK
J Biomed Inform; 2008 Feb; 41(1):124-36. PubMed ID: 17544868
[TBL] [Abstract][Full Text] [Related]
11. An extended Markov blanket approach to proteomic biomarker detection from high-resolution mass spectrometry data.
Oh JH; Gurnani P; Schorge J; Rosenblatt KP; Gao JX
IEEE Trans Inf Technol Biomed; 2009 Mar; 13(2):195-206. PubMed ID: 19126475
[TBL] [Abstract][Full Text] [Related]
12. Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data.
Wu B; Abbott T; Fishman D; McMurray W; Mor G; Stone K; Ward D; Williams K; Zhao H
Bioinformatics; 2003 Sep; 19(13):1636-43. PubMed ID: 12967959
[TBL] [Abstract][Full Text] [Related]
13. A new approach for the analysis of mass spectrometry data for biomarker discovery.
Barbarini N; Magni P; Bellazzi R
AMIA Annu Symp Proc; 2006; 2006():26-30. PubMed ID: 17238296
[TBL] [Abstract][Full Text] [Related]
14. Proteomic studies of early-stage and advanced ovarian cancer patients.
Wang J; Zhang X; Ge X; Guo H; Xiong G; Zhu Y
Gynecol Oncol; 2008 Oct; 111(1):111-9. PubMed ID: 18703221
[TBL] [Abstract][Full Text] [Related]
15. Feature extraction and quantification for mass spectrometry in biomedical applications using the mean spectrum.
Morris JS; Coombes KR; Koomen J; Baggerly KA; Kobayashi R
Bioinformatics; 2005 May; 21(9):1764-75. PubMed ID: 15673564
[TBL] [Abstract][Full Text] [Related]
16. A serum proteomic pattern for the detection of colorectal adenocarcinoma using surface enhanced laser desorption and ionization mass spectrometry.
Liu XP; Shen J; Li ZF; Yan L; Gu J
Cancer Invest; 2006 Dec; 24(8):747-53. PubMed ID: 17162557
[TBL] [Abstract][Full Text] [Related]
17. Analysis of mass spectral serum profiles for biomarker selection.
Ressom HW; Varghese RS; Abdel-Hamid M; Eissa SA; Saha D; Goldman L; Petricoin EF; Conrads TP; Veenstra TD; Loffredo CA; Goldman R
Bioinformatics; 2005 Nov; 21(21):4039-45. PubMed ID: 16159919
[TBL] [Abstract][Full Text] [Related]
18. A novel approach for clustering proteomics data using Bayesian fast Fourier transform.
Bensmail H; Golek J; Moody MM; Semmes JO; Haoudi A
Bioinformatics; 2005 May; 21(10):2210-24. PubMed ID: 15769836
[TBL] [Abstract][Full Text] [Related]
19. MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data.
Zhou X; Tuck DP
Bioinformatics; 2007 May; 23(9):1106-14. PubMed ID: 17494773
[TBL] [Abstract][Full Text] [Related]
20. Plasma proteomic pattern as biomarkers for ovarian cancer.
Lin YW; Lin CY; Lai HC; Chiou JY; Chang CC; Yu MH; Chu TY
Int J Gynecol Cancer; 2006; 16 Suppl 1():139-46. PubMed ID: 16515582
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]