113 related articles for article (PubMed ID: 17646286)
1. Choosing where to look next in a mutation sequence space: Active Learning of informative p53 cancer rescue mutants.
Danziger SA; Zeng J; Wang Y; Brachmann RK; Lathrop RH
Bioinformatics; 2007 Jul; 23(13):i104-14. PubMed ID: 17646286
[TBL] [Abstract][Full Text] [Related]
2. Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.
Danziger SA; Baronio R; Ho L; Hall L; Salmon K; Hatfield GW; Kaiser P; Lathrop RH
PLoS Comput Biol; 2009 Sep; 5(9):e1000498. PubMed ID: 19756158
[TBL] [Abstract][Full Text] [Related]
3. Functional census of mutation sequence spaces: the example of p53 cancer rescue mutants.
Danziger SA; Swamidass SJ; Zeng J; Dearth LR; Lu Q; Chen JH; Cheng J; Hoang VP; Saigo H; Luo R; Baldi P; Brachmann RK; Lathrop RH
IEEE/ACM Trans Comput Biol Bioinform; 2006; 3(2):114-25. PubMed ID: 17048398
[TBL] [Abstract][Full Text] [Related]
4. Prediction of cancer rescue p53 mutants in silico using Naïve Bayes learning methodology.
Ramani RG; Jacob SG
Protein Pept Lett; 2013 Nov; 20(11):1280-91. PubMed ID: 23772609
[TBL] [Abstract][Full Text] [Related]
5. Identification and analysis of driver missense mutations using rotation forest with feature selection.
Du X; Cheng J
Biomed Res Int; 2014; 2014():905951. PubMed ID: 25250338
[TBL] [Abstract][Full Text] [Related]
6. p53--master and commander.
Foulkes WD
N Engl J Med; 2007 Dec; 357(25):2539-41. PubMed ID: 18094374
[No Abstract] [Full Text] [Related]
7. Predicting the transactivation activity of p53 missense mutants using a four-body potential score derived from Delaunay tessellations.
Mathe E; Olivier M; Kato S; Ishioka C; Vaisman I; Hainaut P
Hum Mutat; 2006 Feb; 27(2):163-72. PubMed ID: 16395672
[TBL] [Abstract][Full Text] [Related]
8. Induction of genetic instability by gain-of-function p53 cancer mutants.
Xu Y
Oncogene; 2008 Jun; 27(25):3501-7. PubMed ID: 18223686
[TBL] [Abstract][Full Text] [Related]
9. Distinct Rayleigh scattering from hot spot mutant p53 proteins reveals cancer cells.
Jun HJ; Nguyen AH; Kim YH; Park KH; Kim D; Kim KK; Sim SJ
Small; 2014 Jul; 10(14):2954-62. PubMed ID: 24700814
[TBL] [Abstract][Full Text] [Related]
10. Small, fuzzy and interpretable gene expression based classifiers.
Vinterbo SA; Kim EY; Ohno-Machado L
Bioinformatics; 2005 May; 21(9):1964-70. PubMed ID: 15661797
[TBL] [Abstract][Full Text] [Related]
11. Novel human p53 mutations that are toxic to yeast can enhance transactivation of specific promoters and reactivate tumor p53 mutants.
Inga A; Resnick MA
Oncogene; 2001 Jun; 20(26):3409-19. PubMed ID: 11423991
[TBL] [Abstract][Full Text] [Related]
12. Disarming mutant p53 oncogenic function.
Girardini JE; Marotta C; Del Sal G
Pharmacol Res; 2014 Jan; 79():75-87. PubMed ID: 24246451
[TBL] [Abstract][Full Text] [Related]
13. Multiclass cancer classification and biomarker discovery using GA-based algorithms.
Liu JJ; Cutler G; Li W; Pan Z; Peng S; Hoey T; Chen L; Ling XB
Bioinformatics; 2005 Jun; 21(11):2691-7. PubMed ID: 15814557
[TBL] [Abstract][Full Text] [Related]
14. Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data.
Yeung KY; Bumgarner RE; Raftery AE
Bioinformatics; 2005 May; 21(10):2394-402. PubMed ID: 15713736
[TBL] [Abstract][Full Text] [Related]
15. TP53 in urologic tumors.
Algaba F; Trias I; Santinelli A; Montironi R
Anal Quant Cytol Histol; 2003 Jun; 25(3):123-30. PubMed ID: 12882083
[TBL] [Abstract][Full Text] [Related]
16. Mutational analysis of p53 in human tumors: immunocytochemistry.
Slade N; Moll UM
Methods Mol Biol; 2003; 234():231-43. PubMed ID: 12824536
[TBL] [Abstract][Full Text] [Related]
17. Sensitive detection of p53 mutation: analysis by direct sequencing and multisequence analysis.
Rozemuller EH; Kropveld A; Kreyveld E; Leppers FG; Scheidel KC; Slootweg PJ; Tilanus MG
Cancer Detect Prev; 2001; 25(2):109-16. PubMed ID: 11341345
[TBL] [Abstract][Full Text] [Related]
18. p53: an overview of over two decades of study.
Cheah PL; Looi LM
Malays J Pathol; 2001 Jun; 23(1):9-16. PubMed ID: 16329542
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Towards fast and inexpensive molecular diagnostic: the case of TP53.
Jiang T; Minunni M; Mascini M
Clin Chim Acta; 2004 May; 343(1-2):45-60. PubMed ID: 15115677
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]