Although remission rates for metastatic melanoma are generally very poor, some patients
can survive for prolonged periods following metastasis. We used gene expression profiling …

Classification of human tumors according to their primary anatomical site of origin is
fundamental for the optimal treatment of patients with cancer. Here we describe the use of …

Dimensionality reduction and feature subset selection are two techniques for reducing the
attribute space of a feature set, which is an important component of both supervised and …

In the field of statistical discrimination k-nearest neighbor classification is a well-known, easy
and successful method. In this paper we present an extended version of this technique …

DNA microarray experiments generating thousands of gene expression measurements, are
used to collect information from tissue and cell samples regarding gene expression …

Model-population analysis (MPA) was recently proposed as a general framework for
designing new types of chemometrics and bioinformatics algorithms, and it has found …

Despite being considered the safest means to transport oil and gas, pipelines are
susceptible to degradation. Pipeline integrity management (PIM) is implemented to lower the …

Feature selection plays an important role in classification. We present a comparative study
on six feature selection heuristics by applying them to two sets of data. The first set of data …

We introduce a novel, sound, sample-efficient, and highly-scalable algorithm for variable
selection for classification, regression and prediction called HITON. The algorithm works by …

Promoters are DNA regulatory elements located directly upstream or at the 5'end of the
transcription initiation site (TSS), which are in charge of gene transcription initiation. With the …