A sparse QSRR model for predicting retention indices of essential oils based on robust screening approach

A sparse QSRR model for predicting retention indices of essential oils based on robust screening approach

A robust screening approach and a sparse quantitative structure–retention relationship (QSRR) model for predicting retention indices (RIs) of 169 constituents of essential oils is proposed. The proposed approach is represented in two steps. First, dimension reduction was performed using the proposed...

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Bibliographic Details
Main Authors: Al Fakih, A. M., Algamal, Z. Y., Lee, M. H., Aziz, M.
Format: Article
Published: Taylor and Francis Ltd. 2017
Subjects:
QD Chemistry
Online Access:http://eprints.utm.my/id/eprint/75754/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030458483&doi=10.1080%2f1062936X.2017.1375010&partnerID=40&md5=47d22807f6a4795a52fa1244310bb90b
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Institution: Universiti Teknologi Malaysia

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http://eprints.utm.my/id/eprint/75754/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030458483&doi=10.1080%2f1062936X.2017.1375010&partnerID=40&md5=47d22807f6a4795a52fa1244310bb90b

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