A random forest based biomarker discovery and power analysis framework for diagnostics research

被引:0
作者
Animesh Acharjee
Joseph Larkman
Yuanwei Xu
Victor Roth Cardoso
Georgios V. Gkoutos
机构
[1] University of Birmingham,College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, Centre for Computational Biology
[2] University Hospitals Birmingham NHS,Institute of Translational Medicine
[3] Foundation Trust,NIHR Surgical Reconstruction and Microbiology Research Centre
[4] University Hospital Birmingham,NIHR Biomedical Research Centre
[5] MRC Health Data Research UK (HDR UK),undefined
[6] NIHR Experimental Cancer Medicine Centre,undefined
[7] University Hospital Birmingham,undefined
来源
BMC Medical Genomics | / 13卷
关键词
Random forest; Feature selection; Power study; Biomarker;
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 128 条
[1]  
Wang Z(2009)RNA-Seq: a revolutionary tool for transcriptomics Nat Rev Genet 10 57-63
[2]  
Gerstein M(2002)Genomewide analysis of mRNA processing in yeast using splicing-specific microarrays Science 296 907-910
[3]  
Snyder M(2019)Can metabolomic profiling predict response to therapy? Nat Rev Rheumatol 15 129-130
[4]  
Clark TA(2012)Metabolomics: the apogee of the omics trilogy Nat Rev Mol Cell Biol 13 263-269
[5]  
McGrath CM(2006)Mass spectrometry and protein analysis Science 312 212-217
[6]  
Young SP(2018)Human gut microbiome: hopes, threats and promises Gut 67 1716-1725
[7]  
Patti GJ(2012)The human microbiome: at the interface of health and disease Nat Rev Genet 13 260-270
[8]  
Yanes O(2007)The human microbiome project Nature 449 804-810
[9]  
Siuzdak G(2012)Deep phenotyping for precision medicine Hum Mutat 33 777-780
[10]  
Domon B(2019)Artificial intelligence for precision oncology: beyond patient stratification NPJ Precis Onc 3 6-46