Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Background: A priori analysis of the activity of drugs on the target protein by computational approaches can be useful in narrowing down drug candidates for further experimental t...
Pelin Armutlu, Muhittin Emre Ozdemir, Fadime Ü...
The assessment of multivariate association between two complex random vectors is considered. A number of correlation coefficients based on three popular correlation analysis techni...
—Cytochrome b561 (Cyt-b561) proteins play important functions in plants such as anti-toxin defense reactions, growth and development, and prevention of damage to plants from exce...
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...