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Expectation-Maximization Model for Substitution of Missing Values Characterizing Greenness of Organi...

Expectation-Maximization Model for Substitution of Missing Values Characterizing Greenness of Organi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6ebc018f68be4490a9909ee1886b62dd

Expectation-Maximization Model for Substitution of Missing Values Characterizing Greenness of Organic Solvents

About this item

Full title

Expectation-Maximization Model for Substitution of Missing Values Characterizing Greenness of Organic Solvents

Publisher

Switzerland: MDPI AG

Journal title

Molecules (Basel, Switzerland), 2018-05, Vol.23 (6), p.1292

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Organic solvents are ubiquitous in chemical laboratories and the Green Chemistry trend forces their detailed assessments in terms of greenness. Unfortunately, some of them are not fully characterized, especially in terms of toxicological endpoints that are time consuming and expensive to be determined. Missing values in the datasets are serious obs...

Alternative Titles

Full title

Expectation-Maximization Model for Substitution of Missing Values Characterizing Greenness of Organic Solvents

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6ebc018f68be4490a9909ee1886b62dd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6ebc018f68be4490a9909ee1886b62dd

Other Identifiers

ISSN

1420-3049

E-ISSN

1420-3049

DOI

10.3390/molecules23061292

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