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 *

175 related articles for article (PubMed ID: 17578703)

  • 1. Integrative analysis of transcriptomic and proteomic data: challenges, solutions and applications.
    Nie L; Wu G; Culley DE; Scholten JC; Zhang W
    Crit Rev Biotechnol; 2007; 27(2):63-75. PubMed ID: 17578703
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Studies of complex biological systems with applications to molecular medicine: the need to integrate transcriptomic and proteomic approaches.
    Silvestri E; Lombardi A; de Lange P; Glinni D; Senese R; Cioffi F; Lanni A; Goglia F; Moreno M
    J Biomed Biotechnol; 2011; 2011():810242. PubMed ID: 20981256
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrated Analysis of Transcriptomic and Proteomic Datasets Reveals Information on Protein Expressivity and Factors Affecting Translational Efficiency.
    Wang J; Wu G; Chen L; Zhang W
    Methods Mol Biol; 2016; 1375():123-36. PubMed ID: 25762301
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integrative analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: a non-linear model to predict abundance of undetected proteins.
    Torres-García W; Zhang W; Runger GC; Johnson RH; Meldrum DR
    Bioinformatics; 2009 Aug; 25(15):1905-14. PubMed ID: 19447782
    [TBL] [Abstract][Full Text] [Related]  

  • 5. QuanTP: A Software Resource for Quantitative Proteo-Transcriptomic Comparative Data Analysis and Informatics.
    Kumar P; Panigrahi P; Johnson J; Weber WJ; Mehta S; Sajulga R; Easterly C; Crooker BA; Heydarian M; Anamika K; Griffin TJ; Jagtap PD
    J Proteome Res; 2019 Feb; 18(2):782-790. PubMed ID: 30582332
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Statistical application and challenges in global gel-free proteomic analysis by mass spectrometry.
    Nie L; Wu G; Zhang W
    Crit Rev Biotechnol; 2008; 28(4):297-307. PubMed ID: 19031310
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrated analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: zero-inflated Poisson regression models to predict abundance of undetected proteins.
    Nie L; Wu G; Brockman FJ; Zhang W
    Bioinformatics; 2006 Jul; 22(13):1641-7. PubMed ID: 16675466
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Retrospective analysis: reproducibility of interblastomere differences of mRNA expression in 2-cell stage mouse embryos is remarkably poor due to combinatorial mechanisms of blastomere diversification.
    Casser E; Israel S; Schlatt S; Nordhoff V; Boiani M
    Mol Hum Reprod; 2018 Jul; 24(7):388-400. PubMed ID: 29746690
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrative analysis of transcriptomic and proteomic data of Shewanella oneidensis: missing value imputation using temporal datasets.
    Torres-García W; Brown SD; Johnson RH; Zhang W; Runger GC; Meldrum DR
    Mol Biosyst; 2011 Apr; 7(4):1093-104. PubMed ID: 21212895
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Quantitative proteomics in Giardia duodenalis-Achievements and challenges.
    Emery SJ; Lacey E; Haynes PA
    Mol Biochem Parasitol; 2016 Aug; 208(2):96-112. PubMed ID: 27449313
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrating transcriptome and proteome profiling: Strategies and applications.
    Kumar D; Bansal G; Narang A; Basak T; Abbas T; Dash D
    Proteomics; 2016 Oct; 16(19):2533-2544. PubMed ID: 27343053
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Single-platform 'multi-omic' profiling: unified mass spectrometry and computational workflows for integrative proteomics-metabolomics analysis.
    Blum BC; Mousavi F; Emili A
    Mol Omics; 2018 Oct; 14(5):307-319. PubMed ID: 30211418
    [TBL] [Abstract][Full Text] [Related]  

  • 13. WGCNA Application to Proteomic and Metabolomic Data Analysis.
    Pei G; Chen L; Zhang W
    Methods Enzymol; 2017; 585():135-158. PubMed ID: 28109426
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A multi-model statistical approach for proteomic spectral count quantitation.
    Branson OE; Freitas MA
    J Proteomics; 2016 Jul; 144():23-32. PubMed ID: 27260494
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The contribution of human sperm proteins to the development and epigenome of the preimplantation embryo.
    Castillo J; Jodar M; Oliva R
    Hum Reprod Update; 2018 Sep; 24(5):535-555. PubMed ID: 29800303
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Dual spatial maps of transcript and protein abundance in the mouse brain.
    Park CC; Petyuk VA; Qian WJ; Smith RD; Smith DJ
    Expert Rev Proteomics; 2009 Jun; 6(3):243-9. PubMed ID: 19489697
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Primary transcripts: From the discovery of RNA processing to current concepts of gene expression - Review.
    Scherrer K
    Exp Cell Res; 2018 Dec; 373(1-2):1-33. PubMed ID: 30266658
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Methods, Tools and Current Perspectives in Proteogenomics.
    Ruggles KV; Krug K; Wang X; Clauser KR; Wang J; Payne SH; Fenyö D; Zhang B; Mani DR
    Mol Cell Proteomics; 2017 Jun; 16(6):959-981. PubMed ID: 28456751
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrative Exploratory Analysis of Two or More Genomic Datasets.
    Meng C; Culhane A
    Methods Mol Biol; 2016; 1418():19-38. PubMed ID: 27008008
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Optimized detection of differential expression in global profiling experiments: case studies in clinical transcriptomic and quantitative proteomic datasets.
    Elo LL; Hiissa J; Tuimala J; Kallio A; Korpelainen E; Aittokallio T
    Brief Bioinform; 2009 Sep; 10(5):547-55. PubMed ID: 19549804
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.