P-BOSS: a new filtering method for treasure hunting in metabolomics.
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.
Morohashi
Mineo
M
Human Metabolome Technologies, Inc., Yamagata 997-0052, Japan.
Shimizu
Kaori
K
Ohashi
Yoshiaki
Y
Abe
Junji
J
Mori
Hirotada
H
Tomita
Masaru
M
Soga
Tomoyoshi
T
D000465:Algorithms; D015415:Biomarkers / Q000032:analysis* / Q000378:metabolism; D019295:Computational Biology; D019075:Electrophoresis, Capillary; D004926:Escherichia coli / Q000737:chemistry / Q000378:metabolism*; D029968:Escherichia coli Proteins / Q000032:analysis*; D040081:Protein Array Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D012984:Software; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000295:instrumentation / Q000379:methods*
D015415:Biomarkers; D029968:Escherichia coli Proteins