(Q107556304)

English

Charged aerosol detector response modeling for fatty acids based on experimental settings and molecular features: a machine learning approach

scholarly article by Ruben Pawellek et al published 15 July 2021 in Journal of Cheminformatics

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scholarly article

1 reference

17 July 2021

Charged aerosol detector response modeling for fatty acids based on experimental settings and molecular features: a machine learning approach (English)

1 reference

17 July 2021

machine learning

1 reference

based on heuristic

inferred from title

Ulrike Holzgrabe

object named as

Ulrike Holzgrabe

7

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17 July 2021

author name string

Ruben Pawellek

1

1 reference

17 July 2021

Jovana Krmar

2

1 reference

17 July 2021

Adrian Leistner

3

1 reference

17 July 2021

Nevena Djajić

4

1 reference

17 July 2021

Biljana Otašević

5

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17 July 2021

Ana Protić

6

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17 July 2021

language of work or name

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17 July 2021

publication date

15 July 2021

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17 July 2021

Journal of Cheminformatics

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17 July 2021

13

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17 July 2021

1

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17 July 2021

Universal response in liquid chromatography using charged aerosol detection.

1 reference

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Investigation of polar organic solvents compatible with Corona Charged Aerosol Detection and their use for the determination of sugars by hydrophilic interaction liquid chromatography.

1 reference

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Performance of charged aerosol detection with hydrophilic interaction chromatography.

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1 reference

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1 reference

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1 reference

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Revealing the inner workings of the power function algorithm in Charged Aerosol Detection: A simple and effective approach to optimizing power function value for quantitative analysis

1 reference

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Influence of charged aerosol detector instrument settings on the ultra-high-performance liquid chromatography analysis of fatty acids in polysorbate 80

1 reference

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Universal response quantification approach using a Corona Charged Aerosol Detector (CAD) - Application on linear and cyclic oligomers extractable from polycondensate plastics polyesters, polyamides and polyarylsulfones

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Use of Calculated Physicochemical Properties to Enhance Quantitative Response When Using Charged Aerosol Detection.

1 reference

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Performance comparison of nonlinear and linear regression algorithms coupled with different attribute selection methods for quantitative structure - retention relationships modelling in micellar liquid chromatography

1 reference

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Quantitative structure-property relationship modeling of polar analytes lacking UV chromophores to charged aerosol detector response

1 reference

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The Elements of Statistical Learning

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1 reference

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Quantification of underivatized fatty acids from vegetable oils by HPLC with UV detection.

1 reference

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Sample size calculations based on a difference in medians for positively skewed outcomes in health care studies.

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31 October 2021

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10.1186/S13321-021-00532-0

1 reference

17 July 2021

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