Bootstrap-based differential gene expression analysis for RNA-Seq data with and without replicates

被引:0
|
作者
Sahar Al Seesi
Yvette Temate Tiagueu
Alexander Zelikovsky
Ion I Măndoiu
机构
[1] University of Connecticut,Computer Science & Engineering Department
[2] Georgia State University,Computer Science Department
来源
BMC Genomics | / 15卷
关键词
differential gene expression; bootstrapping; RNA-Seq;
D O I
暂无
中图分类号
学科分类号
摘要
A major application of RNA-Seq is to perform differential gene expression analysis. Many tools exist to analyze differentially expressed genes in the presence of biological replicates. Frequently, however, RNA-Seq experiments have no or very few biological replicates and development of methods for detecting differentially expressed genes in these scenarios is still an active research area.
引用
下载
收藏
相关论文
共 50 条
  • [31] A Hypothesis Testing Based Method for Normalization and Differential Expression Analysis of RNA-Seq Data
    Zhou, Yan
    Wang, Guochang
    Zhang, Jun
    Li, Han
    PLOS ONE, 2017, 12 (01):
  • [32] A Unified Model for Robust Differential Expression Analysis of RNA-Seq Data
    Liu, Kefei
    Shen, Li
    Jiang, Hui
    PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2018, : 437 - 442
  • [33] Data Driven Feature Selection for RNA-Seq Differential Expression Analysis
    Han, Henry
    PATTERN RECOGNITION IN BIOINFORMATICS, PRIB 2014, 2014, 8626 : 114 - 115
  • [34] Analysis of differential gene expression by RNA-seq data in ABCG1 knockout mice
    Shen, Si-Qi
    Yan, Xiao-Wei
    Li, Peng-Tao
    Ji, Xiao-Hui
    GENE, 2019, 689 : 24 - 33
  • [35] A scaling normalization method for differential expression analysis of RNA-seq data
    Robinson, Mark D.
    Oshlack, Alicia
    GENOME BIOLOGY, 2010, 11 (03):
  • [36] A Comparative Study of Techniques for Differential Expression Analysis on RNA-Seq Data
    Zhang, Zong Hong
    Jhaveri, Dhanisha J.
    Marshall, Vikki M.
    Bauer, Denis C.
    Edson, Janette
    Narayanan, Ramesh K.
    Robinson, Gregory J.
    Lundberg, Andreas E.
    Bartlett, Perry F.
    Wray, Naomi R.
    Zhao, Qiong-Yi
    PLOS ONE, 2014, 9 (08):
  • [37] LFCseq: a nonparametric approach for differential expression analysis of RNA-seq data
    Bingqing Lin
    Li-Feng Zhang
    Xin Chen
    BMC Genomics, 15
  • [38] A scaling normalization method for differential expression analysis of RNA-seq data
    Mark D Robinson
    Alicia Oshlack
    Genome Biology, 11
  • [40] Differential Expression Analysis in RNA-seq Data Using a Geometric Approach
    Tambonis, Tiago
    Boareto, Marcelo
    Leite, Vitor B. P.
    JOURNAL OF COMPUTATIONAL BIOLOGY, 2018, 25 (11) : 1257 - 1265