Computational identification of condition-specific miRNA targets based on gene expression profiles and sequence information

被引：0
|
作者：
Je-Gun Joung
Zhangjun Fei
机构：
[1] Cornell University,Boyce Thompson Institute for Plant Research
[2] USDA Robert W. Holley Center for Agriculture and Health,undefined
来源：
BMC Bioinformatics | / 10卷
关键词：
Support Vector Machine; Gene Expression Profile; miRNA Target; Support Vector Machine Classifier; Gene Expression Dataset;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Computational identification of condition-specific miRNA targets based on gene expression profiles and sequence information
    Joung, Je-Gun
    Fei, Zhangjun
    BMC BIOINFORMATICS, 2009, 10
  • [2] Integrating sequence, expression and interaction data to determine condition-specific miRNA regulation
    Le, Hai-Son
    Bar-Joseph, Ziv
    BIOINFORMATICS, 2013, 29 (13) : 89 - 97
  • [3] Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data
    Zhang, Junpeng
    Thuc Duy Le
    Liu, Lin
    Liu, Bing
    He, Jianfeng
    Goodall, Gregory J.
    Li, Jiuyong
    BIOINFORMATICS, 2014, 30 (21) : 3070 - 3077
  • [4] SpeCond: a method to detect condition-specific gene expression
    Florence MG Cavalli
    Richard Bourgon
    Wolfgang Huber
    Juan M Vaquerizas
    Nicholas M Luscombe
    Genome Biology, 12
  • [5] SpeCond: a method to detect condition-specific gene expression
    Cavalli, Florence Mg
    Bourgon, Richard
    Huber, Wolfgang
    Vaquerizas, Juan M.
    Luscombe, Nicholas M.
    GENOME BIOLOGY, 2011, 12 (10):
  • [6] Erratum to: SpeCond: a method to detect condition-specific gene expression
    Florence MG Cavalli
    Richard Bourgon
    Juan M Vaquerizas
    Nicholas M Luscombe
    Genome Biology, 12
  • [7] Literature-based condition-specific miRNA-mRNA target prediction
    Oh, Minsik
    Rhee, Sungmin
    Moon, Ji Hwan
    Chae, Heejoon
    Lee, Sunwon
    Kang, Jaewoo
    Kim, Sun
    PLOS ONE, 2017, 12 (03):
  • [8] Joint Bayesian inference of condition-specific miRNA and transcription factor activities from combined gene and microRNA expression data
    Zacher, Benedikt
    Abnaof, Khalid
    Gade, Stephan
    Younesi, Erfan
    Tresch, Achim
    Froehlich, Holger
    BIOINFORMATICS, 2012, 28 (13) : 1714 - 1720
  • [9] A Local Genetic Algorithm for the Identification of Condition-Specific MicroRNA-Gene Modules
    Mu, Wenbo
    Roqueiro, Damian
    Dai, Yang
    SCIENTIFIC WORLD JOURNAL, 2013,
  • [10] Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles
    Zhang, Weijia
    Thuc Duy Le
    Liu, Lin
    Zhou, Zhi-Hua
    Li, Jiuyong
    PLOS ONE, 2016, 11 (04):
12345