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Functional prediction of unidentified lipids using supervised classifiers
Laxman Yetukuri
*
, Jarkko Tikka
, Jaakko Hollmén
, Matej Orešič
*
Corresponding author for this work
VTT Technical Research Centre of Finland
VTT (former employee or external)
Helsinki University of Technology
Research output
:
Contribution to journal
›
Article
›
Scientific
›
peer-review
12
Citations (Scopus)
Overview
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Dive into the research topics of 'Functional prediction of unidentified lipids using supervised classifiers'. Together they form a unique fingerprint.
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Keyphrases
Lipids
100%
Functional Prediction
100%
Supervised Classifier
100%
K-nearest
100%
Support Vector Machine
66%
Data Interpretation
66%
Label Prediction
66%
Discriminant Analysis
66%
Partial Least Squares Analysis
66%
Naïve Bayes Classifier
66%
High-throughput
33%
Mass Spectrometry
33%
Support Vector Machine Classifier
33%
Lipidomics
33%
Genome Analysis
33%
High Performance Liquid Chromatography-tandem Mass Spectrometry (HPLC-MS/MS)
33%
Lipid Profile
33%
Mass Spectrometry-based Metabolomics
33%
Naïve Bayes Method
33%
Class Membership
33%
Class Label
33%
Label Information
33%
Naïve Bayes
33%
Conditionally Independent
33%
Bias in Data
33%
Neighborhood Support
33%
Metabolomics Study
33%
Unseen
33%
INIS
data
100%
lipids
100%
prediction
100%
mass spectrometry
50%
vectors
50%
peaks
33%
least square fit
33%
performance
16%
information
16%
data analysis
16%
investigations
16%
screening
16%
metabolites
16%
datasets
16%
liquid column chromatography
16%
Computer Science
Support Vector Machine
100%
Least Squares Methods
66%
Discriminant Analysis
66%
Bayes Classifier
66%
Data Interpretation
66%
High Throughput
33%
Exploratory Study
33%
Good Starting Point
33%
Naive Bayes Method
33%
Biochemistry, Genetics and Molecular Biology
Lipid
100%
K Nearest Neighbor
75%
Support Vector Machine
75%
Metabolomics
50%
Mass Spectrometry
50%
Lipid Profile
25%
Lipidomics
25%
Metabolite
25%
Liquid Chromatography-Mass Spectrometry
25%
Chemistry
Mass Spectrometry
100%
Metabolite
50%
Ultra Performance Liquid Chromatography Mass Spectrometry
50%