BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

248 related articles for article (PubMed ID: 26051695)

  • 21. miRDB: an online database for prediction of functional microRNA targets.
    Chen Y; Wang X
    Nucleic Acids Res; 2020 Jan; 48(D1):D127-D131. PubMed ID: 31504780
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Participation of microRNAs in human interactome: extraction of microRNA-microRNA regulations.
    Sengupta D; Bandyopadhyay S
    Mol Biosyst; 2011 Jun; 7(6):1966-73. PubMed ID: 21483898
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs.
    Le DH; Verbeke L; Son LH; Chu DT; Pham VH
    BMC Bioinformatics; 2017 Nov; 18(1):479. PubMed ID: 29137601
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Integrated analysis of microRNA and gene expression profiles reveals a functional regulatory module associated with liver fibrosis.
    Chen W; Zhao W; Yang A; Xu A; Wang H; Cong M; Liu T; Wang P; You H
    Gene; 2017 Dec; 636():87-95. PubMed ID: 28919164
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identification of miRNA-mRNA regulatory modules by exploring collective group relationships.
    Masud Karim SM; Liu L; Le TD; Li J
    BMC Genomics; 2016 Jan; 17 Suppl 1(Suppl 1):7. PubMed ID: 26817421
    [TBL] [Abstract][Full Text] [Related]  

  • 26. BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data.
    Chae H; Rhee S; Nephew KP; Kim S
    Bioinformatics; 2015 Jan; 31(2):265-7. PubMed ID: 25270639
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Connecting rules from paired miRNA and mRNA expression data sets of HCV patients to detect both inverse and positive regulatory relationships.
    Song R; Liu Q; Liu T; Li J
    BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S11. PubMed ID: 25707620
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions.
    Singh S; Benton RG; Singh A; Singh A
    Methods Mol Biol; 2017; 1617():211-224. PubMed ID: 28540688
    [TBL] [Abstract][Full Text] [Related]  

  • 29. LimiTT: link miRNAs to targets.
    Bayer J; Kuenne C; Preussner J; Looso M
    BMC Bioinformatics; 2016 May; 17(1):210. PubMed ID: 27170328
    [TBL] [Abstract][Full Text] [Related]  

  • 30. MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis.
    Licursi V; Conte F; Fiscon G; Paci P
    BMC Bioinformatics; 2019 Nov; 20(1):545. PubMed ID: 31684860
    [TBL] [Abstract][Full Text] [Related]  

  • 31. CPSS: a computational platform for the analysis of small RNA deep sequencing data.
    Zhang Y; Xu B; Yang Y; Ban R; Zhang H; Jiang X; Cooke HJ; Xue Y; Shi Q
    Bioinformatics; 2012 Jul; 28(14):1925-7. PubMed ID: 22576177
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Bioinformatics method to predict two regulation mechanism: TF-miRNA-mRNA and lncRNA-miRNA-mRNA in pancreatic cancer.
    Ye S; Yang L; Zhao X; Song W; Wang W; Zheng S
    Cell Biochem Biophys; 2014 Dec; 70(3):1849-58. PubMed ID: 25087086
    [TBL] [Abstract][Full Text] [Related]  

  • 33. MicroRNAs, Regulatory Networks, and Comorbidities: Decoding Complex Systems.
    Russo F; Belling K; Jensen AB; Scoyni F; Brunak S; Pellegrini M
    Methods Mol Biol; 2017; 1580():281-295. PubMed ID: 28439840
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Different microRNA alterations contribute to diverse outcomes following EV71 and CA16 infections: Insights from high-throughput sequencing in rhesus monkey peripheral blood mononuclear cells.
    Hu Y; Song J; Liu L; Li J; Tang B; Wang J; Zhang X; Zhang Y; Wang L; Liao Y; He Z; Li Q
    Int J Biochem Cell Biol; 2016 Dec; 81(Pt A):20-31. PubMed ID: 27765603
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Computational methods for microRNA target prediction.
    Watanabe Y; Tomita M; Kanai A
    Methods Enzymol; 2007; 427():65-86. PubMed ID: 17720479
    [TBL] [Abstract][Full Text] [Related]  

  • 36. STarMir Tools for Prediction of microRNA Binding Sites.
    Kanoria S; Rennie W; Liu C; Carmack CS; Lu J; Ding Y
    Methods Mol Biol; 2016; 1490():73-82. PubMed ID: 27665594
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Joint analysis of miRNA and mRNA expression data.
    Muniategui A; Pey J; Planes FJ; Rubio A
    Brief Bioinform; 2013 May; 14(3):263-78. PubMed ID: 22692086
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Genome-wide identification and functional analysis of lincRNAs acting as miRNA targets or decoys in maize.
    Fan C; Hao Z; Yan J; Li G
    BMC Genomics; 2015 Oct; 16():793. PubMed ID: 26470872
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Identification of miRNA-mRNA crosstalk in pancreatic cancer by integrating transcriptome analysis.
    Yang J; Zeng Y
    Eur Rev Med Pharmacol Sci; 2015; 19(5):825-34. PubMed ID: 25807437
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Transcriptome-Wide Identification of miRNA Targets under Nitrogen Deficiency in Populus tomentosa Using Degradome Sequencing.
    Chen M; Bao H; Wu Q; Wang Y
    Int J Mol Sci; 2015 Jun; 16(6):13937-58. PubMed ID: 26096002
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.