Add to ORKGthe work describes the use of chemometrics tools such as PCA, PLS in the context of QSAR analysis employing 3D molecular descriptors derived from codification of molecular interactions terms in molecular modeling of biological molecule
In this work the new protocol BIOlogical Target Assignation (BIOTA) for the prediction of the biolog...
Basic chemometric methods for making empirical regression models for QSPR/QSAR are briefly described...
Chemometrics is a chemical discipline in which mathematical and statistical techniques are applied t...
the work describes the use of chemometrics tools such as PCA, PLS in the context of QSAR analysis em...
Regression in grossly underdetermined systems has emerged as an important means for understanding mo...
This article concerns two chemometric modeling methods - the well-known partial least squares regres...
Core argument of the Ph.D. Thesis is Partial Least Squares (PLS), a class of techniques for modellin...
One popular method for the representation and characterization of chemical structure is through the ...
An overview on the development of QSPR/QSAR equations using various descriptor mining techniques and...
n advanced variable selection procedure, called GOLPE, aimed at obtaining PLS regression models with...
AbstractBasic chemometric methods for making empirical regression models for QSPR/QSAR are briefly d...
Abstract Two dynamic techniques recently developed to account for conformational flexibility of chem...
Structural equation modeling is an extension of multiple linear regression modeling, and primarily u...
The book, which is related to QSAR in sciences, is divided into five main chapters. The first chapte...
Basic chemometric methods for making empirical regression models for QSPR/QSAR are briefly described...
In this work the new protocol BIOlogical Target Assignation (BIOTA) for the prediction of the biolog...
Basic chemometric methods for making empirical regression models for QSPR/QSAR are briefly described...
Chemometrics is a chemical discipline in which mathematical and statistical techniques are applied t...
the work describes the use of chemometrics tools such as PCA, PLS in the context of QSAR analysis em...
Regression in grossly underdetermined systems has emerged as an important means for understanding mo...
This article concerns two chemometric modeling methods - the well-known partial least squares regres...
Core argument of the Ph.D. Thesis is Partial Least Squares (PLS), a class of techniques for modellin...
One popular method for the representation and characterization of chemical structure is through the ...
An overview on the development of QSPR/QSAR equations using various descriptor mining techniques and...
n advanced variable selection procedure, called GOLPE, aimed at obtaining PLS regression models with...
AbstractBasic chemometric methods for making empirical regression models for QSPR/QSAR are briefly d...
Abstract Two dynamic techniques recently developed to account for conformational flexibility of chem...
Structural equation modeling is an extension of multiple linear regression modeling, and primarily u...
The book, which is related to QSAR in sciences, is divided into five main chapters. The first chapte...
Basic chemometric methods for making empirical regression models for QSPR/QSAR are briefly described...
In this work the new protocol BIOlogical Target Assignation (BIOTA) for the prediction of the biolog...
Basic chemometric methods for making empirical regression models for QSPR/QSAR are briefly described...
Chemometrics is a chemical discipline in which mathematical and statistical techniques are applied t...