While classical kernel-based learning algorithms are based on a single kernel, in practice it
is often desirable to use multiple kernels. Lanckriet et al.(2004) considered conic …

Motivation: As more genomes are sequenced, the demand for fast gene classification
techniques is increasing. To analyze a newly sequenced genome, first the genes are …

Metal-binding proteins play important roles in structural stability, signaling, regulation,
transport, immune response, metabolism control, and metal homeostasis. Because of their …

Protein and peptide sequences contain clues for functional prediction. A challenge is to
predict sequences that show low or no homology to proteins or peptides of known function …

Kernel methods, like the well‐known Support Vector Machine (SVM), have received growing
attention in recent years for designing QSAR models that have a high predictive strength …

In genomic sequence analysis tasks like splice site recognition or promoter identification,
large amounts of training sequences are available, and indeed needed to achieve …

Lipid binding proteins play important roles in signaling, regulation, membrane trafficking,
immune response, lipid metabolism, and transport. Because of their functional and …

The forced swimming test of rats or mice is a frequently used behavioral test to evaluate
compounds for antidepressant activity in vivo. The aim of this study was to replace the …

Various computational methods have been used for the prediction of protein and peptide
function based on their sequences. A particular challenge is to derive functional properties …

With the development of novel sequencing technologies, the way has been paved for cost
efficient, high-throughput whole genome sequencing. In the year 2008 alone, about 250 …