Dataset Information
Metabolite Profiling of wildtype and overexpression Arabidopsis thaliana
Ontology highlight
ABSTRACT:
INSTRUMENT(S): micrOTOF-Q II ESI-Qq-TOF (Bruker)
PROVIDER: MTBLS169 | MetaboLights | 2015-09-15
REPOSITORIES: MetaboLights
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| WTA01-11S_1-D,2_01_27748.mzData | Other | |||
| WTA02-11S_1-B,2_01_27731.mzData | Other | |||
| WTA38-11S_1-B,6_01_27735.mzData | Other | |||
| WTA41-11S_1-C,6_01_27744.mzData | Other | |||
| WTA50-11S_1-A,6_01_27727.mzData | Other |
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Publications
Joint Analysis of Dependent Features within Compound Spectra Can Improve Detection of Differential Features.
Frontiers in bioengineering and biotechnology 20150924
Mass spectrometry is an important analytical technology in metabolomics. After the initial feature detection and alignment steps, the raw data processing results in a high-dimensional data matrix of mass spectral features, which is then subjected to further statistical analysis. Univariate tests like Student's t-test and Analysis of Variances (ANOVA) are hypothesis tests, which aim to detect differences between two or more sample classes, e.g., wildtype-mutant or between different doses of treat ...[more]
