Normalization Method for Metabolomics Data Using Optimal Selection of Multiple Internal Standards

BMC Bioinformatics - United Kingdom
doi 10.1186/1471-2105-8-93
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Best-Matched Internal Standard Normalization in Liquid ChromatographyMass Spectrometry Metabolomics Applied to Environmental Samples

English

Optimal Selection Method of Process Patents for Technology Transfer Using Fuzzy Linguistic Computing

Mathematical Problems in Engineering
MathematicsEngineering
2014English

So What Have Data Standards Ever Done for Us? The View From Metabolomics

Genome Medicine
Molecular MedicineGeneticsMolecular Biology
2010English

A Fault Line Selection Method for DC Distribution Network Using Multiple Observers

Energies
ControlElectronic EngineeringEnergy EngineeringRenewable EnergyEnergyFuel TechnologySustainabilityOptimizationElectricalPower Technologythe Environment
2019English

Fuzzy Logic-Based Disparity Selection Using Multiple Data Costs for Stereo Correspondence

Turkish Journal of Electrical Engineering and Computer Sciences
Electronic EngineeringElectricalComputer Science
2019English

Data Preprocessing Method for Liquid Chromatography–Mass Spectrometry Based Metabolomics

Analytical Chemistry
Analytical Chemistry
2012English

An Optimal Selection Approach for Mitigating User Time in Cognitive Radio Networks Using Multiple Channels

International Journal of Intelligent Engineering and Systems
EngineeringComputer Science
2018English

Evaluation of Biomarkers for Treatment Selection Using Individual Participant Data From Multiple Clinical Trials

Statistics in Medicine
EpidemiologyStatisticsProbability
2018English

An Optimal Representative Set Selection Method

Information and Software Technology
Computer Science ApplicationsInformation SystemsSoftware
2000English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy