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Hesse, A.-M
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Hesse, A.-M
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Hesse, A.-M
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1
CHICKN: extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis
by
Burger, T.
,
Fortin, T.
,
Guibert, R.
,
Hesse
,
A
.-
M
,
Kraut, A.
,
Permiakova, O.
Published 2021
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2
Well Plate Maker: A user-friendly randomized block design application to limit batch effects in large-scale biomedical studies
by
Borges, H.
,
Brun, V.
,
Burger, T.
,
Couté, Y.
,
Hesse
,
A
.-
M
,
Kraut, A.
Published 2021
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Related Subjects
mass spectrometry
proteomics
Algorithms
Chromatography, Liquid
Cluster Analysis
Data Compression
Data mining
Data representations
Essential features
Hierarchical clustering
Hierarchical strategies
Hierarchical systems
K-means clustering
Large-scale cluster analysis
Learning algorithms
Liquid chromatography
Machine learning
Mass Spectrometry
Mass spectrometry
Mass spectrometry analysis
Mass spectrometry data
Multi-core machines
Objective functions
Optimal transport
Peptides
Proteomics
State-of-the-art methods
Wasserstein kernel
algorithm
article
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