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 *

85 related articles for article (PubMed ID: 25485614)

  • 21. Chromatin interaction analysis using paired-end tag sequencing.
    Fullwood MJ; Han Y; Wei CL; Ruan X; Ruan Y
    Curr Protoc Mol Biol; 2010 Jan; Chapter 21():Unit 21.15.1-25. PubMed ID: 20069536
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A signal-noise model for significance analysis of ChIP-seq with negative control.
    Xu H; Handoko L; Wei X; Ye C; Sheng J; Wei CL; Lin F; Sung WK
    Bioinformatics; 2010 May; 26(9):1199-204. PubMed ID: 20371496
    [TBL] [Abstract][Full Text] [Related]  

  • 23. DIME: R-package for identifying differential ChIP-seq based on an ensemble of mixture models.
    Taslim C; Huang T; Lin S
    Bioinformatics; 2011 Jun; 27(11):1569-70. PubMed ID: 21471015
    [TBL] [Abstract][Full Text] [Related]  

  • 24. DeepChIA-PET: Accurately predicting ChIA-PET from Hi-C and ChIP-seq with deep dilated networks.
    Liu T; Wang Z
    PLoS Comput Biol; 2023 Jul; 19(7):e1011307. PubMed ID: 37440599
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Joint modeling of ChIP-seq data via a Markov random field model.
    Bao Y; Vinciotti V; Wit E; 't Hoen PA
    Biostatistics; 2014 Apr; 15(2):296-310. PubMed ID: 24178187
    [TBL] [Abstract][Full Text] [Related]  

  • 26. An algorithm for finding protein-DNA binding sites with applications to chromatin-immunoprecipitation microarray experiments.
    Liu XS; Brutlag DL; Liu JS
    Nat Biotechnol; 2002 Aug; 20(8):835-9. PubMed ID: 12101404
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Bayesian methods for predicting interacting protein pairs using domain information.
    Kim I; Liu Y; Zhao H
    Biometrics; 2007 Sep; 63(3):824-33. PubMed ID: 17825014
    [TBL] [Abstract][Full Text] [Related]  

  • 28. An in silico procedure for generating protein-mediated chromatin interaction data and comparison of significant interaction calling methods.
    Lou S; Lin S
    PLoS One; 2024; 19(1):e0287521. PubMed ID: 38232107
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Integrating genomic data to predict transcription factor binding.
    Holloway DT; Kon M; DeLisi C
    Genome Inform; 2005; 16(1):83-94. PubMed ID: 16362910
    [TBL] [Abstract][Full Text] [Related]  

  • 30. High resolution discovery of chromatin interactions.
    Guo Y; Krismer K; Closser M; Wichterle H; Gifford DK
    Nucleic Acids Res; 2019 Apr; 47(6):e35. PubMed ID: 30953075
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Mango: a bias-correcting ChIA-PET analysis pipeline.
    Phanstiel DH; Boyle AP; Heidari N; Snyder MP
    Bioinformatics; 2015 Oct; 31(19):3092-8. PubMed ID: 26034063
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Integrative analyses for omics data: a Bayesian mixture model to assess the concordance of ChIP-chip and ChIP-seq measurements.
    Schäfer M; Lkhagvasuren O; Klein HU; Elling C; Wüstefeld T; Müller-Tidow C; Zender L; Koschmieder S; Dugas M; Ickstadt K
    J Toxicol Environ Health A; 2012; 75(8-10):461-70. PubMed ID: 22686305
    [TBL] [Abstract][Full Text] [Related]  

  • 33. PICS: probabilistic inference for ChIP-seq.
    Zhang X; Robertson G; Krzywinski M; Ning K; Droit A; Jones S; Gottardo R
    Biometrics; 2011 Mar; 67(1):151-63. PubMed ID: 20528864
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Flexible empirical Bayes models for differential gene expression.
    Lo K; Gottardo R
    Bioinformatics; 2007 Feb; 23(3):328-35. PubMed ID: 17138586
    [TBL] [Abstract][Full Text] [Related]  

  • 35. MACPET: model-based analysis for ChIA-PET.
    Vardaxis I; Drabløs F; Rye MB; Lindqvist BH
    Biostatistics; 2020 Jul; 21(3):625-639. PubMed ID: 30698663
    [TBL] [Abstract][Full Text] [Related]  

  • 36. ChIP-based methods for the identification of long-range chromatin interactions.
    Fullwood MJ; Ruan Y
    J Cell Biochem; 2009 May; 107(1):30-9. PubMed ID: 19247990
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A variational Bayesian mixture modelling framework for cluster analysis of gene-expression data.
    Teschendorff AE; Wang Y; Barbosa-Morais NL; Brenton JD; Caldas C
    Bioinformatics; 2005 Jul; 21(13):3025-33. PubMed ID: 15860564
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A network model of the molecular organization of chromatin in Drosophila.
    van Bemmel JG; Filion GJ; Rosado A; Talhout W; de Haas M; van Welsem T; van Leeuwen F; van Steensel B
    Mol Cell; 2013 Feb; 49(4):759-71. PubMed ID: 23438860
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A Bayesian changepoint analysis of ChIP-Seq data of Lamin B.
    Herrmann S; Schwender H; Ickstadt K; Müller P
    Biochim Biophys Acta; 2014 Jan; 1844(1 Pt A):138-44. PubMed ID: 24036208
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Biological network mapping and source signal deduction.
    Brynildsen MP; Wu TY; Jang SS; Liao JC
    Bioinformatics; 2007 Jul; 23(14):1783-91. PubMed ID: 17495996
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 5.