Integration of multi-omics data for prediction of phenotypic traits using random forest

被引：0
作者：
Animesh Acharjee
Bjorn Kloosterman
Richard G. F. Visser
Chris Maliepaard
机构：
[1] Wageningen University & Research Centre,Wageningen UR Plant Breeding
[2] Keygene NV,undefined
[3] MRC Human Nutrition Research,undefined
来源：
BMC Bioinformatics | / 17卷
关键词：
Data integration; Genetical genomics; Networks; Random forest;
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 146 条
  • [1] Fukushima A(2009)Integrated omics approaches in plant systems biology Curr Opin Chem Biol 13 532-538
  • [2] Kusano M(2010)Data integration and analysis of biological networks Curr Opin Biotech 21 78-84
  • [3] Redestig H(2014)Integrated network analysis and effective tools in plant systems biology Front Plant Sci 5 598-24
  • [4] Arita M(2000)Gene expression data analysis FEBS J 480 17-206
  • [5] Saito K(2000)Making the most of microarray data Nat Genet 24 204-171
  • [6] Kim TY(2002)Metabolomics — the link between genotypes and phenotypes Plant Mol Bio 48 155-625
  • [7] Kim HU(2005)Measuring the metabolome: current analytical technologies Analyst 130 606-207
  • [8] Lee SY(2003)Mass spectrometry-based proteomics Nature 422 198-812
  • [9] Fukushima A(2003)Proteomics Ann Rev Biochem 72 783-753
  • [10] Kanaya S(1996)Visualization of differential gene expression using a novel method of RNA fingerprinting based on AFLP: analysis of gene expression during potato tuber development Plant J 9 745-911
12345678910