MOTIVATION Reproducibility analyses of biologically relevant microarray studies have mostly focused on overlap of detected biomarkers or correlation of differential expression evidences across studies. For clinical utility, direct inter-study prediction (i.e. to establish a prediction model in one study and apply to another) for disease diagnosis or prognosis prediction is more important. Norma...

One of the fundamental problems in computational biology identification of genes in very long genome sequences. As we know DNA is a sequence of nucleotide molecules, or bases, which encode instructions for generation of proteins. However, not all of these bases correspond directly to amino acids. Even within a gene, a relatively small percentage of the nucleotides might actually be translated i...

MOTIVATION The computational evaluation of candidate genes for hereditary disorders is a non-trivial task. Several excellent methods for disease-gene prediction have been developed in the past 2 decades, exploiting widely differing data sources to infer disease-relevant functional relationships between candidate genes and disorders. We have shown recently that spatially mapped, i.e. 3D, gene ex...

An increasing number of genes have been experimentally confirmed in recent years as causative genes to various human diseases. The newly available knowledge can be exploited by machine learning methods to discover additional unknown genes that are likely to be associated with diseases. In particular, positive unlabeled learning (PU learning) methods, which require only a positive training set P...

Recombinant DNA technology has made possible the localization and isolation of disease-related genes, the tracking of disease-related alleles through family pedigrees, the direct detection of the pathological lesion itself and the in vitro expression of both normal and mutant genetic information at the mRNA and protein levels. Undoubtedly the most immediate practical spin-off from recombinant D...

Common diseases such as type 2 diabetes and coronary heart disease result from a complex interplay of genetic and environmental factors. Recent developments in genomics research have boosted progress in the discovery of susceptibility genes and fueled expectations about opportunities of genetic profiling for personalizing medicine. Personalized medicine requires a test that fairly accurately pr...

Accessibility of high-throughput genotyping technology makes possible genome-wide association studies for common complex diseases. When dealing with common diseases, it is necessary to search and analyze multiple independent causes resulted from interactions of multiple genes scattered over the entire genome. This becomes computationally challenging since interaction even of pairs gene variatio...

I-cell disease is a rare inherited metabolic disorder resulting from a defective phosphotransferase, characterized by coarse facial features, skeletal abnormalities and mental retardation. As clinical features of this condition mimic that of Hurler disease mutation studies help in the diagnosis. We present a case of I-cell disease in a neonate with GNPTAB gene mutation.