A novel bioinformatics approach to identify the consistently well-performing normalization strategy for current metabolomic studies

Qingxia Yang, Jiajun Hong, Yi Li, Weiwei Xue, Song Li, Hui Yang, Feng Zhu 0004. A novel bioinformatics approach to identify the consistently well-performing normalization strategy for current metabolomic studies. Briefings in Bioinformatics, 21(6):2142-2152, 2020. [doi]

@article{YangHLXLYZ20,
  title = {A novel bioinformatics approach to identify the consistently well-performing normalization strategy for current metabolomic studies},
  author = {Qingxia Yang and Jiajun Hong and Yi Li and Weiwei Xue and Song Li and Hui Yang and Feng Zhu 0004},
  year = {2020},
  doi = {10.1093/bib/bbz137},
  url = {https://doi.org/10.1093/bib/bbz137},
  researchr = {https://researchr.org/publication/YangHLXLYZ20},
  cites = {0},
  citedby = {0},
  journal = {Briefings in Bioinformatics},
  volume = {21},
  number = {6},
  pages = {2142-2152},
}