P-BOSS: A new filtering method for treasure hunting in metabolomics

Mineo Morohashi, Kaori Shimizu, Yoshiaki Ohashi, Junji Abe, Hirotada Mori, Masaru Tomita, Tomoyoshi Soga

研究成果: Article査読

7 被引用数 (Scopus)

抄録

Metabolomics is expected to boost data driven research. In biomarker discovery, powerful filtering methods to remove noise and outliers are essential for screening significant candidates from the huge volume of omic data. Here we propose a post-measurement peak filtering method (named P-BOSS) for CE electrospray ionization-time-of-flight MS (CE-TOFMS) data. Combining outlier detection method functions in parallel, we applied P-BOSS to the data using Escherichia coli knockout mutants of the tryptophan and purine biosynthesis pathways. As the result, P-BOSS showed remarkably superior performance, reducing 65% of all peaks, while leaving significant peaks.

本文言語English
ページ(範囲)142-148
ページ数7
ジャーナルJournal of Chromatography A
1159
1-2
DOI
出版ステータスPublished - 2007 8 3

ASJC Scopus subject areas

  • 分析化学
  • 生化学
  • 有機化学

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