We describe a methodology, as well as some related data mining tools, for analyzing
sequence data. The methodology comprises three steps:(a) generating candidate features …

In this paper, time, frequency, and time-frequency features derived from thermal infrared
data are used to discriminate between self-reported affective states of an individual in …

Background Near-infrared spectroscopy (NIRS) is an optical imaging technology that has
recently been investigated for use in a safe, non-invasive brain-computer interface (BCI) for …

DNA-binding proteins (DNABPs) are important for various cellular processes, such as
transcriptional regulation, recombination, replication, repair, and DNA modification. So far …

In traditional brain–computer interface (BCI) studies, binary communication systems have
generally been implemented using two mental tasks arbitrarily assigned to “yes” or “no” …

Identification of genomic signals as indicators for functional genomic elements is one of the
areas that received early and widespread application of machine learning methods. With …

We present a technique to encode the inputs to neural networks for the detection of signals
in genomic sequences. The encoding is based on lower-order Markov models which …

Motivation: The correct identification of translation initiation sites (TIS) remains a challenging
problem for computational methods that automatically try to solve this problem. Furthermore …

A cognitive system tries to understand the concepts of its environment by using a simplified
interpretation of this environment called model. The procedure of constructing such a model …

Background Utilization of alternative initiation sites for protein translation directed by non-
AUG codons in mammalian mRNAs is observed with increasing frequency. Alternative …