Gene expression microarray data often include multiple missing values. Most gene expression analysis (including gene clustering analysis); however, require a complete data matric as an input. In ordinary clustering methods, just a single missing value makes one abandon the whole data of a gene even if the rest of data for that gene was intact. The quality of analysis may decrease seriously as t...

PURPOSE The epidermal growth factor receptor (EGFR) autocrine signaling pathway is involved in cancer development and progression. EGFR inhibitors such as C225 (cetuximab), a chimeric human-mouse anti-EGFR monoclonal antibody, and ZD1839 (gefitinib), a small molecule EGFR-selective tyrosine kinase inhibitor, are in advanced clinical development. The potential emergence of cancer cell resistance...

Location coordinates detection according to the visual/text information is widely used in this age, like geo-visual, geotagging and LGTA. We propose a two-level LDA scheme applied on Geo-tagging that can demonstrate relatively high accuracy compared with the tradition Standard Language Model (LM), Search Similarity (SS) and LM/SS hybrid. Our method is evaluated on a dataset from a task of Media...

Geosynchronous synthetic aperture radar (GEO SAR) will move in a high orbit of ~36,000 km with a long integration time of hundreds of seconds. It is obviously impacted by orbital perturbations and the Earth’s rotation, which can give rise to un-parallel repeated tracks and induce a squint-looking angle in the repeat-track SAR interferometry (InSAR). Thus, the traditional data acquisition method...

In this paper the basic principles for the design and implementation of a wide-band statistical model for the LMS (land mobile satellite) channel at various frequency bands are presented. The model is valid for different services including communications, broadcast, navigation, etc. The simulator implementing the model is suitable of the study of new systems, including those using LEO and other...

This paper describes a set of experiments for monolingual English retrieval at GEO-CLEF 2005. We evaluate a technique for spatial retrieval based on named entity tagging, toponym resolution, and re-ranking by means of geographic filtering. To this end, we present a series of systematic experiments in the Vector Space paradigm. We investigate plain bag-of-word versus a kind of phrasal retrieval,...

BACKGROUND Dental caries in children is unevenly distributed within populations with a higher burden in low socio-economy groups. Thus, tools are needed to allocate resources and establish evidence-based programs that meet the needs of those at risk. The aim of the study was to apply a novel concept for presenting epidemiological data based on caries risk in the region of Halland in southwest S...

The k-means algorithm is often used in clustering applications but its usage requires a complete data matrix. Missing data, however, is common in many applications. Mainstream approaches to clustering missing data reduce the missing data problem to a complete data formulation through either deletion or imputation but these solutions may incur significant costs. Our k-POD method presents a simpl...

Two robust approaches to principal component analysis and factor analysis are presented. The different methods are compared, and properties are discussed. As an application we use a large geochemical data set which was analyzed in detail by univariate (geo-)statistical methods. We explain the advantages of applying robust multivariate methods.

Image and statistical analysis are two important aspects of microarray technology. Of these, gridding is necessary to accurately identify the location of each spot while extracting spot intensities from the microarray images and automating this procedure permits highthroughput analysis. In this paper, an automatic gridding and spot quantification technique is proposed, which takes a microarray ...