SEaCorAl: Identifying and contrasting the regulation-correlation bias in RNA-Seq paired expression data of patient groups
出版年份 2021 全文链接
标题
SEaCorAl: Identifying and contrasting the regulation-correlation bias in RNA-Seq paired expression data of patient groups
作者
关键词
Correlation networks, Correlation analysis, Spurious correlations, RNA-Seq data, Paired data
出版物
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 135, Issue -, Pages 104567
出版商
Elsevier BV
发表日期
2021-06-16
DOI
10.1016/j.compbiomed.2021.104567
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Drug investigation tool: Identifying the effect of drug on cell image by using improved correlation
- (2020) Muhammad Shahid Iqbal et al. SOFTWARE-PRACTICE & EXPERIENCE
- Differential expression and co-expression gene network analyses reveal molecular mechanisms and candidate biomarkers involved in breast muscle myopathies in chicken
- (2019) Eva Pampouille et al. Scientific Reports
- Stage-Dependent Gene Expression Profiling in Colorectal Cancer
- (2018) Man-Sun Kim et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Combining differential expression and differential coexpression analysis identifies optimal gene and gene set in cervical cancer
- (2018) Hong-Bing Cai et al. Journal of Cancer Research and Therapeutics
- Integrative omics for health and disease
- (2018) Konrad J. Karczewski et al. NATURE REVIEWS GENETICS
- PairedFB: a full hierarchical Bayesian model for paired RNA-seq data with heterogeneous treatment effects
- (2018) Yuanyuan Bian et al. BIOINFORMATICS
- Power in pairs: assessing the statistical value of paired samples in tests for differential expression
- (2018) John R. Stevens et al. BMC GENOMICS
- The Gene Ontology Resource: 20 years and still GOing strong
- (2018) NUCLEIC ACIDS RESEARCH
- Differential expression and co-expression gene networks reveal candidate biomarkers of boar taint in non-castrated pigs
- (2017) Markus Drag et al. Scientific Reports
- Finding network communities using modularity density
- (2016) Federico Botta et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- INDEED: Integrated differential expression and differential network analysis of omic data for biomarker discovery
- (2016) Yiming Zuo et al. METHODS
- KEGG: new perspectives on genomes, pathways, diseases and drugs
- (2016) Minoru Kanehisa et al. NUCLEIC ACIDS RESEARCH
- Identifying the optimal gene and gene set in hepatocellular carcinoma based on differential expression and differential co-expression algorithm
- (2016) Li-Yang Dong et al. ONCOLOGY REPORTS
- DECODE: an integrated differential co-expression and differential expression analysis of gene expression data
- (2015) Thomas WH Lui et al. BMC BIOINFORMATICS
- Loss of Connectivity in Cancer Co-Expression Networks
- (2014) Roberto Anglani et al. PLoS One
- The Cancer Genome Atlas Pan-Cancer analysis project
- (2013) John N Weinstein et al. NATURE GENETICS
- Integrative approaches for finding modular structure in biological networks
- (2013) Koyel Mitra et al. NATURE REVIEWS GENETICS
- Weight-conserving characterization of complex functional brain networks
- (2011) Mikail Rubinov et al. NEUROIMAGE
- WGCNA: an R package for weighted correlation network analysis
- (2008) Peter Langfelder et al. BMC BIOINFORMATICS
- RNA-Seq: a revolutionary tool for transcriptomics
- (2008) Zhong Wang et al. NATURE REVIEWS GENETICS
- Evolution of Complex Modular Biological Networks
- (2008) Arend Hintze et al. PLoS Computational Biology
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