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Classifying the pesticides in foods between GC-amenable and LC-amenable using the prediction model with molecular descriptors
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| 2020 | Agilent Technologies
GC/MSD, LC/MS
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GC/MSD, LC/MS
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Agilent Technologies
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Food & Agriculture
Efficient Peak Integration for Analyzing Residual Pesticides in Foods Using Peakintelligence™ LC/MS Peak Processing Software
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| 2022 | Shimadzu
Software, LC/MS
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Shimadzu
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Food & Agriculture
OpenLab CDS 2.7 – Basic Information
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| 2022 | Agilent Technologies
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Agilent Technologies
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OpenLab CDS Quick Reference Sheet
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| 2022 | Agilent Technologies
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Agilent Technologies
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Efficient Peak Integration for Metabolomics Data Using Peakintelligence -Application to Single Quadrupole LC-MS data -
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| 2022 | Shimadzu
LC/MS, LC/SQ
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LC/MS, LC/SQ
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Shimadzu
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Metabolomics
Efficient Peak Integration for Metabolomics data Using Peakintelligence
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| 2022 | Shimadzu
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Shimadzu
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Metabolomics
Agilent University ePass
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| 2022 | Agilent Technologies
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Agilent Technologies
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WALDNER EDUCATION
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| 2019 | Waldner
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Oncofinder: a novel platform for screening benignant nevi from melanomas based on lipid phenotype using mass spectrometry and machine learning
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| 2020 | Shimadzu
MALDI, LC/TOF, LC/MS
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MALDI, LC/TOF, LC/MS
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Shimadzu
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Clinical Research
Agilent OpenLab CDS - Reporting Templates: When Time, Resources, and Results Matter
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| 2019 | Agilent Technologies
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Agilent Technologies
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