Pinpointing Biomarkers in Proteomic LC/MS Data by Moving-Window Discriminant Analysis

Pinpointing biomarkers in proteomic LC/MS data by moving-window discriminant analysis.

The identification of differential patterns in data originating from combined measurement techniques such as LC/MS is pivotal to proteomics. Although "shotgun proteomics" has been employed successfully to this end, this method also has severe drawbacks, because of its dependence on largely untargeted MS/MS sequencing and databases for statistical analyses. Alternatively, several MS-signal-based...

Pinpointing the classifiers of English language writing ability: A discriminant function analysis approach

The  major  aim  of  this  paper  was  to  investigate  the  validity  of  language  and intelligence  factors  for  classifying  Iranian  English  learners`  writing  performance. Iranian  participants  of  the  study  took  three  tests  for  grammar,  breadth,  and  depth  of vocabulary, and two tests for verbal and narrative intelligence. They also produced a corpus  of  argumentative  writ...

Fisher’s Linear Discriminant Analysis for Weather Data by reproducing kernel Hilbert spaces framework

Recently with science and technology development, data with functional nature are easy to collect. Hence, statistical analysis of such data is of great importance. Similar to multivariate analysis, linear combinations of random variables have a key role in functional analysis. The role of Theory of Reproducing Kernel Hilbert Spaces is very important in this content. In this paper we study a gen...

Regression By Data Segments Via Discriminant Analysis

Window Network Data Envelopment Analysis: An Application to Investment Companies

In this study, the window network data envelopment analysis (WNDEA) model will be proposed, that is capable to be used in the presence of panel data. Additionally, the proposed model is applied to evaluate the dynamic efficiency of 5 investment companies in Tehran stock exchange during the period from 2013 to 2017.