materials studio software package 2017 versions Search Results


newcast software package vis version 2017.7.1.3832  (Visiopharm AS)
90
Visiopharm AS newcast software package vis version 2017.7.1.3832
Newcast Software Package Vis Version 2017.7.1.3832, supplied by Visiopharm AS, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/materials+studio+software+package+2017+versions/pmc09445178-101-7-13?v=Visiopharm+AS
Average 90 stars, based on 1 article reviews
newcast software package vis version 2017.7.1.3832 - by Bioz Stars, 2026-08
90/100 stars
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software package version 1.0153–2009-2017  (RStudio)
90
RStudio software package version 1.0153–2009-2017
Software Package Version 1.0153–2009 2017, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/materials+studio+software+package+2017+versions/pmc11188900-117-7-16?v=RStudio
Average 90 stars, based on 1 article reviews
software package version 1.0153–2009-2017 - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier
chromgenius software package version 2017.1.3  (ACD Labs Inc)
90
ACD Labs Inc chromgenius software package version 2017.1.3
Root-mean-square error of prediction (RMSE P ) for each model optimization step with <t> ChromGenius </t> using the test set and lowest and highest measured values of each response
Chromgenius Software Package Version 2017.1.3, supplied by ACD Labs Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/materials+studio+software+package+2017+versions/pmc06244764-109-10-15?v=ACD+Labs+Inc
Average 90 stars, based on 1 article reviews
chromgenius software package version 2017.1.3 - by Bioz Stars, 2026-08
90/100 stars
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Image Search Results


Root-mean-square error of prediction (RMSE P ) for each model optimization step with ChromGenius using the test set and lowest and highest measured values of each response

Journal: Analytical and Bioanalytical Chemistry

Article Title: Retention-time prediction in comprehensive two-dimensional gas chromatography to aid identification of unknown contaminants

doi: 10.1007/s00216-018-1415-x

Figure Lengend Snippet: Root-mean-square error of prediction (RMSE P ) for each model optimization step with ChromGenius using the test set and lowest and highest measured values of each response

Article Snippet: The federation of local models approach was performed in the ChromGenius software package (version 2017.1.3, ACD/Labs).

Techniques:

Predicted vs. experimental values for the external validation set using ChromGenius. 1 t R , LRI, 2 t R , and PEG- 2 I are the first-dimension retention time, linear retention index, second-dimension retention time, and polyethylene glycol-based second-dimension retention index, respectively

Journal: Analytical and Bioanalytical Chemistry

Article Title: Retention-time prediction in comprehensive two-dimensional gas chromatography to aid identification of unknown contaminants

doi: 10.1007/s00216-018-1415-x

Figure Lengend Snippet: Predicted vs. experimental values for the external validation set using ChromGenius. 1 t R , LRI, 2 t R , and PEG- 2 I are the first-dimension retention time, linear retention index, second-dimension retention time, and polyethylene glycol-based second-dimension retention index, respectively

Article Snippet: The federation of local models approach was performed in the ChromGenius software package (version 2017.1.3, ACD/Labs).

Techniques: Biomarker Discovery

Prediction errors (RMSE P ) and average relative deviation of the predicted value from the experimental value for all four models using PLS and ChromGenius and the test set and external validation set, respectively

Journal: Analytical and Bioanalytical Chemistry

Article Title: Retention-time prediction in comprehensive two-dimensional gas chromatography to aid identification of unknown contaminants

doi: 10.1007/s00216-018-1415-x

Figure Lengend Snippet: Prediction errors (RMSE P ) and average relative deviation of the predicted value from the experimental value for all four models using PLS and ChromGenius and the test set and external validation set, respectively

Article Snippet: The federation of local models approach was performed in the ChromGenius software package (version 2017.1.3, ACD/Labs).

Techniques: Biomarker Discovery

95-percentiles defining the range of error associated with the prediction of each final model

Journal: Analytical and Bioanalytical Chemistry

Article Title: Retention-time prediction in comprehensive two-dimensional gas chromatography to aid identification of unknown contaminants

doi: 10.1007/s00216-018-1415-x

Figure Lengend Snippet: 95-percentiles defining the range of error associated with the prediction of each final model

Article Snippet: The federation of local models approach was performed in the ChromGenius software package (version 2017.1.3, ACD/Labs).

Techniques: