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 *

162 related articles for article (PubMed ID: 28579402)

  • 1. MIDAS: Mining differentially activated subpaths of KEGG pathways from multi-class RNA-seq data.
    Lee S; Park Y; Kim S
    Methods; 2017 Jul; 124():13-24. PubMed ID: 28579402
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identifying heterogeneous subtypes of gastric cancer and subtype‑specific subpaths of microRNA‑target pathways.
    Li Y; Bai W; Zhang X
    Mol Med Rep; 2018 Mar; 17(3):3583-3590. PubMed ID: 29286091
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Information theoretic sub-network mining characterizes breast cancer subtypes in terms of cancer core mechanisms.
    Park J; Hur B; Rhee S; Lim S; Kim MS; Kim K; Han W; Kim S
    J Bioinform Comput Biol; 2016 Oct; 14(5):1644002. PubMed ID: 27712195
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Competing endogenous RNA network analysis identifies critical genes among the different breast cancer subtypes.
    Chen J; Xu J; Li Y; Zhang J; Chen H; Lu J; Wang Z; Zhao X; Xu K; Li Y; Li X; Zhang Y
    Oncotarget; 2017 Feb; 8(6):10171-10184. PubMed ID: 28052038
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DegPack: a web package using a non-parametric and information theoretic algorithm to identify differentially expressed genes in multiclass RNA-seq samples.
    An J; Kim K; Chae H; Kim S
    Methods; 2014 Oct; 69(3):306-14. PubMed ID: 24981074
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Network-Based Isoform Quantification with RNA-Seq Data for Cancer Transcriptome Analysis.
    Zhang W; Chang JW; Lin L; Minn K; Wu B; Chien J; Yong J; Zheng H; Kuang R
    PLoS Comput Biol; 2015 Dec; 11(12):e1004465. PubMed ID: 26699225
    [TBL] [Abstract][Full Text] [Related]  

  • 7. FGMD: A novel approach for functional gene module detection in cancer.
    Jin D; Lee H
    PLoS One; 2017; 12(12):e0188900. PubMed ID: 29244808
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Time-series RNA-seq analysis package (TRAP) and its application to the analysis of rice, Oryza sativa L. ssp. Japonica, upon drought stress.
    Jo K; Kwon HB; Kim S
    Methods; 2014 Jun; 67(3):364-72. PubMed ID: 24518221
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A route-based pathway analysis framework integrating mutation information and gene expression data.
    Zhao Y; Hoang TH; Joshi P; Hong SH; Giardina C; Shin DG
    Methods; 2017 Jul; 124():3-12. PubMed ID: 28647608
    [TBL] [Abstract][Full Text] [Related]  

  • 10. On the complexity of Minimum Path Cover with Subpath Constraints for multi-assembly.
    Rizzi R; Tomescu AI; Mäkinen V
    BMC Bioinformatics; 2014; 15 Suppl 9(Suppl 9):S5. PubMed ID: 25252805
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improvement of cancer subtype prediction by incorporating transcriptome expression data and heterogeneous biological networks.
    Guo Y; Qi Y; Li Z; Shang X
    BMC Med Genomics; 2018 Dec; 11(Suppl 6):119. PubMed ID: 30598111
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparative evaluation of gene set analysis approaches for RNA-Seq data.
    Rahmatallah Y; Emmert-Streib F; Glazko G
    BMC Bioinformatics; 2014 Dec; 15(1):397. PubMed ID: 25475910
    [TBL] [Abstract][Full Text] [Related]  

  • 13. PINTnet: construction of condition-specific pathway interaction network by computing shortest paths on weighted PPI.
    Moon JH; Lim S; Jo K; Lee S; Seo S; Kim S
    BMC Syst Biol; 2017 Mar; 11(Suppl 2):15. PubMed ID: 28361687
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cancer subtype classification and modeling by pathway attention and propagation.
    Lee S; Lim S; Lee T; Sung I; Kim S
    Bioinformatics; 2020 Jun; 36(12):3818-3824. PubMed ID: 32207514
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MicroRNA expression and gene regulation drive breast cancer progression and metastasis in PyMT mice.
    Nogales-Cadenas R; Cai Y; Lin JR; Zhang Q; Zhang W; Montagna C; Zhang ZD
    Breast Cancer Res; 2016 Jul; 18(1):75. PubMed ID: 27449149
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comprehensive landscape of subtype-specific coding and non-coding RNA transcripts in breast cancer.
    Vu TN; Pramana S; Calza S; Suo C; Lee D; Pawitan Y
    Oncotarget; 2016 Oct; 7(42):68851-68863. PubMed ID: 27634900
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A statistical method for detecting differentially expressed SNVs based on next-generation RNA-seq data.
    Fu R; Wang P; Ma W; Taguchi A; Wong CH; Zhang Q; Gazdar A; Hanash SM; Zhou Q; Zhong H; Feng Z
    Biometrics; 2017 Mar; 73(1):42-51. PubMed ID: 27276420
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of hub subnetwork based on topological features of genes in breast cancer.
    Zhuang DY; Jiang L; He QQ; Zhou P; Yue T
    Int J Mol Med; 2015 Mar; 35(3):664-74. PubMed ID: 25573623
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Transcriptome analysis of human breast cancer cell lines MCF-7 and MDA-MB- 435 by RNA-seq].
    Wang CH; Gao XJ; Liao SY; Feng JX; Luo B; Liu LX
    Mol Biol (Mosk); 2015; 49(2):279-88. PubMed ID: 26065255
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network.
    Lyu Y; Xue L; Zhang F; Koch H; Saba L; Kechris K; Li Q
    PLoS Comput Biol; 2018 Sep; 14(9):e1006436. PubMed ID: 30240439
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.