Background: Quantitative analysis of differential protein expressions requires to align temporal elution measurements from liquid chromatography coupled to mass spectrometry (LC/M...
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
- Establishing structure-function relationships on the proteomic scale is a unique challenge faced by bioinformatics and molecular biosciences. Large protein families represent nat...
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Using OTS (Off-The-Shelf) components in software development has become increasingly popular in the IT industry. OTS components can be either COTS (Commercial-Off-The-Shelf), or O...
Jingyue Li, Reidar Conradi, Odd Petter N. Slyngsta...