Supplementary data for the paper: Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference Article Swipe

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Elisa Benedetti , Nathalie Gerstner , Maja Pučić‐Baković , Toma Keser , Karli R. Reiding , L. Renee Ruhaak , Tamara Štambuk , Maurice H. J. Selman , Igor Rudan , Ozren Polašek , Malcolm G. Dunlop , Gordan Lauc , Jan Krumsiek ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.6084/m9.figshare.12581735

The dataset includes unprocessed IgG N-glycan data measured in five cohorts: Korcula2013, Korcula2010, Split, Vis (LC-ESI-MS), and the controls from a colorectal cancer study (UHPLC-FLD).

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Normalization (sociology) Glycomics Computer science Inference Data mining Database normalization Data science Artificial intelligence Pattern recognition (psychology) Biology Anthropology Proteomics Gene Sociology Biochemistry

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Type: dataset
Language: en
Landing Page: https://doi.org/10.6084/m9.figshare.12581735
OA Status: gold
Related Works: 10
OpenAlex ID: https://openalex.org/W4394153353

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OpenAlex ID: https://openalex.org/W4394153353

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DOI: https://doi.org/10.6084/m9.figshare.12581735

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Title: Supplementary data for the paper: Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference

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Language: en

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Publication year: 2020

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Publication date: 2020-01-01

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Authors: Elisa Benedetti, Nathalie Gerstner, Maja Pučić‐Baković, Toma Keser, Karli R. Reiding, L. Renee Ruhaak, Tamara Štambuk, Maurice H. J. Selman, Igor Rudan, Ozren Polašek, Malcolm G. Dunlop, Gordan Lauc, Jan Krumsiek

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Landing page: https://doi.org/10.6084/m9.figshare.12581735

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OA URL: https://doi.org/10.6084/m9.figshare.12581735

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Concepts: Normalization (sociology), Glycomics, Computer science, Inference, Data mining, Database normalization, Data science, Artificial intelligence, Pattern recognition (psychology), Biology, Anthropology, Proteomics, Gene, Sociology, Biochemistry

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