Outliers detection in the statistical accuracy test of a pKa prediction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25310%2F09%3A00009568" target="_blank" >RIV/00216275:25310/09:00009568 - isvavai.cz</a>
Alternative codes found
RIV/00216275:25310/10:39881457
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Outliers detection in the statistical accuracy test of a pKa prediction
Original language description
The regression diagnostics algorithm REGDIA in S-Plus is introduced to examine the accuracy of pKa predicted with four programs: PALLAS, MARVIN, PERRIN and SYBYL.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
CB - Analytical chemistry, separation
OECD FORD branch
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Result continuities
Project
<a href="/en/project/NR9055" target="_blank" >NR9055: Influence of smoking and its cessation on endocrine system</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Mathematical Chemistry
ISSN
0259-9791
e-ISSN
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Volume of the periodical
47
Issue of the periodical within the volume
2
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
9
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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