BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 23424121)

  • 1. Interpreting personal transcriptomes: personalized mechanism-scale profiling of RNA-seq data.
    Perez-Rathke A; Li H; Lussier YA
    Pac Symp Biocomput; 2013; ():159-70. PubMed ID: 23424121
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 'N-of-1-pathways' unveils personal deregulated mechanisms from a single pair of RNA-Seq samples: towards precision medicine.
    Gardeux V; Achour I; Li J; Maienschein-Cline M; Li H; Pesce L; Parinandi G; Bahroos N; Winn R; Foster I; Garcia JG; Lussier YA
    J Am Med Inform Assoc; 2014; 21(6):1015-25. PubMed ID: 25301808
    [TBL] [Abstract][Full Text] [Related]  

  • 3. FREQUENT SUBGRAPH MINING OF PERSONALIZED SIGNALING PATHWAY NETWORKS GROUPS PATIENTS WITH FREQUENTLY DYSREGULATED DISEASE PATHWAYS AND PREDICTS PROGNOSIS.
    Durmaz A; Henderson TAD; Brubaker D; Bebek G
    Pac Symp Biocomput; 2017; 22():402-413. PubMed ID: 27896993
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting gene regulatory networks of soybean nodulation from RNA-Seq transcriptome data.
    Zhu M; Dahmen JL; Stacey G; Cheng J
    BMC Bioinformatics; 2013 Sep; 14():278. PubMed ID: 24053776
    [TBL] [Abstract][Full Text] [Related]  

  • 5. How does normalization impact RNA-seq disease diagnosis?
    Han H; Men K
    J Biomed Inform; 2018 Sep; 85():80-92. PubMed ID: 30041017
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Single sample expression-anchored mechanisms predict survival in head and neck cancer.
    Yang X; Regan K; Huang Y; Zhang Q; Li J; Seiwert TY; Cohen EE; Xing HR; Lussier YA
    PLoS Comput Biol; 2012 Jan; 8(1):e1002350. PubMed ID: 22291585
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Parallel comparison of Illumina RNA-Seq and Affymetrix microarray platforms on transcriptomic profiles generated from 5-aza-deoxy-cytidine treated HT-29 colon cancer cells and simulated datasets.
    Xu X; Zhang Y; Williams J; Antoniou E; McCombie WR; Wu S; Zhu W; Davidson NO; Denoya P; Li E
    BMC Bioinformatics; 2013; 14 Suppl 9(Suppl 9):S1. PubMed ID: 23902433
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Empirical assessment of analysis workflows for differential expression analysis of human samples using RNA-Seq.
    Williams CR; Baccarella A; Parrish JZ; Kim CC
    BMC Bioinformatics; 2017 Jan; 18(1):38. PubMed ID: 28095772
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Removing technical variability in RNA-seq data using conditional quantile normalization.
    Hansen KD; Irizarry RA; Wu Z
    Biostatistics; 2012 Apr; 13(2):204-16. PubMed ID: 22285995
    [TBL] [Abstract][Full Text] [Related]  

  • 10. RNA Bioinformatics for Precision Medicine.
    Chen J; Shen B
    Adv Exp Med Biol; 2016; 939():21-38. PubMed ID: 27807742
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Concordance of deregulated mechanisms unveiled in underpowered experiments: PTBP1 knockdown case study.
    Gardeux V; Arslan AD; Achour I; Ho TT; Beck WT; Lussier YA
    BMC Med Genomics; 2014; 7 Suppl 1(Suppl 1):S1. PubMed ID: 25079003
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Characterizing the impact of smoking and lung cancer on the airway transcriptome using RNA-Seq.
    Beane J; Vick J; Schembri F; Anderlind C; Gower A; Campbell J; Luo L; Zhang XH; Xiao J; Alekseyev YO; Wang S; Levy S; Massion PP; Lenburg M; Spira A
    Cancer Prev Res (Phila); 2011 Jun; 4(6):803-17. PubMed ID: 21636547
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Advantages of RNA-seq compared to RNA microarrays for transcriptome profiling of anterior cruciate ligament tears.
    Rai MF; Tycksen ED; Sandell LJ; Brophy RH
    J Orthop Res; 2018 Jan; 36(1):484-497. PubMed ID: 28749036
    [TBL] [Abstract][Full Text] [Related]  

  • 14. mRNA enrichment protocols determine the quantification characteristics of external RNA spike-in controls in RNA-Seq studies.
    Qing T; Yu Y; Du T; Shi L
    Sci China Life Sci; 2013 Feb; 56(2):134-42. PubMed ID: 23393029
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Maize gene atlas developed by RNA sequencing and comparative evaluation of transcriptomes based on RNA sequencing and microarrays.
    Sekhon RS; Briskine R; Hirsch CN; Myers CL; Springer NM; Buell CR; de Leon N; Kaeppler SM
    PLoS One; 2013; 8(4):e61005. PubMed ID: 23637782
    [TBL] [Abstract][Full Text] [Related]  

  • 16. RNentropy: an entropy-based tool for the detection of significant variation of gene expression across multiple RNA-Seq experiments.
    Zambelli F; Mastropasqua F; Picardi E; D'Erchia AM; Pesole G; Pavesi G
    Nucleic Acids Res; 2018 May; 46(8):e46. PubMed ID: 29390085
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Transcriptome profiling of prostate tumor and matched normal samples by RNA-Seq.
    Zhai W; Yao XD; Xu YF; Peng B; Zhang HM; Liu M; Huang JH; Wang GC; Zheng JH
    Eur Rev Med Pharmacol Sci; 2014; 18(9):1354-60. PubMed ID: 24867513
    [TBL] [Abstract][Full Text] [Related]  

  • 18. RNA sequencing atopic dermatitis transcriptome profiling provides insights into novel disease mechanisms with potential therapeutic implications.
    Suárez-Fariñas M; Ungar B; Correa da Rosa J; Ewald DA; Rozenblit M; Gonzalez J; Xu H; Zheng X; Peng X; Estrada YD; Dillon SR; Krueger JG; Guttman-Yassky E
    J Allergy Clin Immunol; 2015 May; 135(5):1218-27. PubMed ID: 25840722
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improving Gene-Set Enrichment Analysis of RNA-Seq Data with Small Replicates.
    Yoon S; Kim SY; Nam D
    PLoS One; 2016; 11(11):e0165919. PubMed ID: 27829002
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of gene signatures from RNA-seq data using Pareto-optimal cluster algorithm.
    Mallik S; Zhao Z
    BMC Syst Biol; 2018 Dec; 12(Suppl 8):126. PubMed ID: 30577846
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.