Dimensionality Reduction and Prediction of the Protein Macromolecule Dissolution Profile

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092534" target="_blank" >RIV/61989100:27240/14:86092534 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092534
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-08156-4_30" target="_blank" >http://dx.doi.org/10.1007/978-3-319-08156-4_30</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-08156-4_30" target="_blank" >10.1007/978-3-319-08156-4_30</a>

Result language
angličtina
Original language name
Dimensionality Reduction and Prediction of the Protein Macromolecule Dissolution Profile
Original language description
A suitable regression model for predicting the dissolution profile of Poly (lactic-co-glycolic acid) (PLGA) micro- and nanoparticles can play a significant role in pharmaceutical/medical applications. The rate of dissolution of proteins is influenced byseveral factors and taking all such influencing factors into account, we have a dataset in hand with three hundred input features. Therefore, a primary approach before identifying a regression model is to reduce the dimensionality of the dataset at hand.On the one hand, we have adopted Backward Elimination Feature selection techniques for an exhaustive analysis of the predictability of each combination of features. On the other hand, several linear and non-linear feature extraction methods are used inorder to extract a new set of features out of the available dataset. A comprehensive experimental analysis for the selection or extraction of features and identification of corresponding prediction model is offered. The designed experimen
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advances in Intelligent Systems and Computing. Volume 303
ISBN
978-3-319-08155-7
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
301-310
Publisher name
Springer-Verlag Berlin Heidelberg
Place of publication
Berlin Heidelberg
Event location
Ostrava
Event date
Jun 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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