These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

133 related articles for article (PubMed ID: 12475896)

  • 41. A robust method for estimating gene expression states using Affymetrix microarray probe level data.
    Ohtaki M; Otani K; Hiyama K; Kamei N; Satoh K; Hiyama E
    BMC Bioinformatics; 2010 Apr; 11():183. PubMed ID: 20380745
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Optimal amounts of fluorescent dye improve expression microarray results in tumor specimens.
    Naderi A; Ahmed AA; Wang Y; Brenton JD; Caldas C
    Mol Biotechnol; 2005 Jun; 30(2):151-4. PubMed ID: 15920285
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Computational method for reducing variance with Affymetrix microarrays.
    Welle S; Brooks AI; Thornton CA
    BMC Bioinformatics; 2002 Aug; 3():23. PubMed ID: 12204100
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Quality control in microarray assessment of gene expression in human airway epithelium.
    Raman T; O'Connor TP; Hackett NR; Wang W; Harvey BG; Attiyeh MA; Dang DT; Teater M; Crystal RG
    BMC Genomics; 2009 Oct; 10():493. PubMed ID: 19852842
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Washing scaling of GeneChip microarray expression.
    Binder H; Krohn K; Burden CJ
    BMC Bioinformatics; 2010 May; 11():291. PubMed ID: 20509934
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Compatible solutes from hyperthermophiles improve the quality of DNA microarrays.
    Mascellani N; Liu X; Rossi S; Marchesini J; Valentini D; Arcelli D; Taccioli C; Helmer Citterich M; Liu CG; Evangelisti R; Russo G; Santos JM; Croce CM; Volinia S
    BMC Biotechnol; 2007 Nov; 7():82. PubMed ID: 18036223
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Evaluation of gene expression measurements from commercial microarray platforms.
    Tan PK; Downey TJ; Spitznagel EL; Xu P; Fu D; Dimitrov DS; Lempicki RA; Raaka BM; Cam MC
    Nucleic Acids Res; 2003 Oct; 31(19):5676-84. PubMed ID: 14500831
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations.
    Lee ML; Kuo FC; Whitmore GA; Sklar J
    Proc Natl Acad Sci U S A; 2000 Aug; 97(18):9834-9. PubMed ID: 10963655
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Statistical analysis of differential gene expression relative to a fold change threshold on NanoString data of mouse odorant receptor genes.
    Vaes E; Khan M; Mombaerts P
    BMC Bioinformatics; 2014 Feb; 15():39. PubMed ID: 24495268
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Identification of differential gene expression profiles in rat cortical cells exposed to the neuroactive agents trimethylolpropane phosphate and bicuculline.
    Andreadis JD; Mann TT; Russell AC; Stenger DA; Pancrazio JJ
    Biosens Bioelectron; 2001 Sep; 16(7-8):593-601. PubMed ID: 11544054
    [TBL] [Abstract][Full Text] [Related]  

  • 51. On the necessity of different statistical treatment for Illumina BeadChip and Affymetrix GeneChip data and its significance for biological interpretation.
    Wong WC; Loh M; Eisenhaber F
    Biol Direct; 2008 Jun; 3():23. PubMed ID: 18522715
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Empirical characterization of the expression ratio noise structure in high-density oligonucleotide arrays.
    Naef F; Hacker CR; Patil N; Magnasco M
    Genome Biol; 2002; 3(4):RESEARCH0018. PubMed ID: 11983059
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Reporting FDR analogous confidence intervals for the log fold change of differentially expressed genes.
    Jung K; Friede T; Beissbarth T
    BMC Bioinformatics; 2011 Jul; 12():288. PubMed ID: 21756370
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Optimizing RNA extraction yield from whole blood for microarray gene expression analysis.
    Wang J; Robinson JF; Khan HM; Carter DE; McKinney J; Miskie BA; Hegele RA
    Clin Biochem; 2004 Sep; 37(9):741-4. PubMed ID: 15329310
    [TBL] [Abstract][Full Text] [Related]  

  • 55. A simple method for statistical analysis of intensity differences in microarray-derived gene expression data.
    Kamb A; Ramaswami M
    BMC Biotechnol; 2001; 1():8. PubMed ID: 11690545
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Quantitative assessment of the use of modified nucleoside triphosphates in expression profiling: differential effects on signal intensities and impacts on expression ratios.
    Nguyen A; Zhao C; Dorris D; Mazumder A
    BMC Biotechnol; 2002 Jul; 2():14. PubMed ID: 12150713
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Comparison of Amersham and Agilent microarray technologies through quantitative noise analysis.
    Held GA; Duggar K; Stolovitzky G
    OMICS; 2006; 10(4):532-44. PubMed ID: 17233562
    [TBL] [Abstract][Full Text] [Related]  

  • 58. An adaptable method using human mixed tissue ratiometric controls for benchmarking performance on gene expression microarrays in clinical laboratories.
    Pine PS; Rosenzweig BA; Thompson KL
    BMC Biotechnol; 2011 Apr; 11():38. PubMed ID: 21486464
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Bootstrap method for the estimation of measurement uncertainty in spotted dual-color DNA microarrays.
    Karakach TK; Flight RM; Wentzell PD
    Anal Bioanal Chem; 2007 Dec; 389(7-8):2125-41. PubMed ID: 17899024
    [TBL] [Abstract][Full Text] [Related]  

  • 60. High throughput gene expression measurement with real time PCR in a microfluidic dynamic array.
    Spurgeon SL; Jones RC; Ramakrishnan R
    PLoS One; 2008 Feb; 3(2):e1662. PubMed ID: 18301740
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.