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Hunt et al., 2020 - Google Patents

Automatic transformation and integration to improve visualization and discovery of latent effects in imaging data

Hunt et al., 2020

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Document ID
8417205294871717832
Author
Hunt G
Dane M
Korkola J
Heiser L
Gagnon-Bartsch J
Publication year
Publication venue
Journal of Computational and Graphical Statistics

External Links

Snippet

Proper data transformation is an essential part of analysis. Choosing appropriate transformations for variables can enhance visualization, improve efficacy of analytical methods, and increase data interpretability. However, determining appropriate …
Continue reading at www.ncbi.nlm.nih.gov (HTML) (other versions)

Classifications

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    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/20—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for hybridisation or gene expression, e.g. microarrays, sequencing by hybridisation, normalisation, profiling, noise correction models, expression ratio estimation, probe design or probe optimisation
    • G—PHYSICS
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    • G06F19/24—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
    • G—PHYSICS
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    • G—PHYSICS
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