GEP (Gene expression programming) is a new genetic algorithm, and it has been proved to be excellent in function finding. In this paper, for the purpose of setting up a diagnostic model, GEP is used to deal with the data of heart disease. Eight variables, Sex, Chest pain, Blood pressure, Angina, Peak, Slope, Colored vessels and Thal, are picked out of thirteen variables to form a classified function. This function is used to predict a forecasting set of 100 samples, and the accuracy is 87%. Other algorithms such as SVM (Support vector machine) are applied to the same data and the forecasting results show that GEP is better than other algorithms.
Algorithms ; Artificial Intelligence ; Computational Biology ; methods ; Data Mining ; Diagnosis, Computer-Assisted ; instrumentation ; methods ; Gene Expression Profiling ; methods ; Gene Regulatory Networks ; genetics ; Heart Diseases ; diagnosis ; Humans ; Models, Cardiovascular

DNA chip has been used as a powerful tool to study the genetic reprogramming of cells and its link to cellular phenotype such as angiogenesis. To evaluate the angiogenesis related genetic reprogramming more efficiently, we here developed an angiogenesis- focused cDNA chip containing 153 angiogenesis related genes arrayed in duplicate on a slide glass. In order to validate the functionality of the angiogenesis-focused cDNA chip, we examined gene expression profiles in HT1080 cells treated with either fetal bovine serum, a well known pro-angiogenic factor, or trichostatin A, a known angiogenesis inhibitor, using the cDNA chip. All duplicate data from the analysis are well matched with each other and gene expression profiles are well consistent with previously reported data. These results demonstrate that the angiogenesis-focused cDNA chip developed here can be a useful tool towards angiogenesisrelated researches.
Angiogenesis Inducing Agents/pharmacology ; Angiogenesis Inhibitors/pharmacology ; Gene Expression/drug effects ; Gene Expression Profiling/*instrumentation ; Humans ; Neovascularization, Pathologic/*genetics ; Neovascularization, Physiologic/*genetics ; Oligonucleotide Array Sequence Analysis/*instrumentation ; Research Support, Non-U.S. Gov't ; Tumor Cells, Cultured

In the post-genome era, the emphasis of the human genome project (HGP) is transferred to the study of functional genomics, which has become the hotspots of modern medicine. Studies on mechanism of various diseases could be deepened with the progressing of differential gene expression analysis technique. By taking the study on ischemic heart diseases as an example, the development of differential gene expression analysis technique and its application were reviewed.
Biomedical Research ; methods ; trends ; Expressed Sequence Tags ; Gene Expression Profiling ; methods ; Genomics ; instrumentation ; methods ; Humans ; Molecular Diagnostic Techniques ; Myocardial Ischemia ; diagnosis ; genetics ; Oligonucleotide Array Sequence Analysis

As one of the key technologies in biomedical research, DNA sequencing has not only improved its productivity with an exponential growth rate but also been applied to new areas of application over the past few years. This is largely due to the advent of newer generations of sequencing platforms, offering ever-faster and cheaper ways to analyze sequences. In our previous review, we looked into technical characteristics of the next-generation sequencers and provided prospective insights into their future development. In this article, we present a brief overview of the advantages and shortcomings of key commercially available platforms with a focus on their suitability for a broad range of applications.
Animals ; DNA-Binding Proteins ; chemistry ; Epigenomics ; Gene Expression Profiling ; Genomics ; High-Throughput Nucleotide Sequencing ; instrumentation ; methods ; trends ; Humans ; Nanostructures ; RNA, Small Untranslated ; chemistry