The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The challenge of biomarker identification for bionanotechnology is that we need to find less than ten potential biomarkers from high throughput data so that quantum dot synthesis and imaging can be effective. Among all the extensive biomarker research, the novelty of our research is to reduce the number the biomarkers by studying the efficacy of several classifiers and error estimation methods. Specifically,...
Understanding the molecular recognition between RNA and proteins is central to elucidation of many biological processes in the cell. Although structural data are available for some protein-RNA complexes, the interaction patterns are still mostly unclear. In this study, support vector machines as well as artificial neural networks have been trained to predict RNA binding residues from five sequence-derived...
Single-Nucleotide Polymorphism (SNP) array is a recently introduced technology that genotypes more than 10,000 human SNPs on a single array. It has been shown that genome-wide Loss of Heterozygosity (LOH) calls can be derived by analyzing the genotypes calls measured by SNP arrays using paired tumor and normal tissue samples. The goal of this study is to evaluate the possibility of cancer classification...
We present a novel method that combines ant colony optimization with support vector machines (ACO-SVM) to select candidate biomarkers from MALDI-TOF serum profiles of hepatocellular carcinoma (HCC) patients and matched controls. The method identified relevant mass points that achieve high sensitivity and specificity in distinguishing HCC patients from healthy individuals. The results indicate that...
High false-negative rates of the Papanicolauo (so-called 'Pap') smear test and the shortage of colposcopists have led to the desire to find alternative non-expert (automated) approaches for accurately testing cervical smears for signs of cancer. Fourier-Transform Infra-Red (FTIR) spectroscopy has been shown to offer the potential for improving the accuracy (i.e. sensitivity and specificity) of these...
Single-Nucleotide Polymorphism (SNP) array is a recently introduced technology that genotypes more than 10,000 human SNPs on a single array. It has been shown that genome-wide Loss of Heterozygosity (LOH) calls can be derived by analyzing the genotypes calls measured by SNP arrays using paired tumor and normal tissue samples. The goal of this study is to evaluate the possibility of cancer classification...
Understanding the molecular recognition between RNA and proteins is central to elucidation of many biological processes in the cell. Although structural data are available for some protein-RNA complexes, the interaction patterns are still mostly unclear. In this study, support vector machines as well as artificial neural networks have been trained to predict RNA binding residues from five sequence-derived...
The challenge of biomarker identification for bionanotechnology is that we need to find less than ten potential biomarkers from high throughput data so that quantum dot synthesis and imaging can be effective. Among all the extensive biomarker research, the novelty of our research is to reduce the number the biomarkers by studying the efficacy of several classifiers and error estimation methods. Specifically,...
High false-negative rates of the Papanicolauo (so-called 'Pap') smear test and the shortage of colposcopists have led to the desire to find alternative non-expert (automated) approaches for accurately testing cervical smears for signs of cancer. Fourier-Transform Infra-Red (FTIR) spectroscopy has been shown to offer the potential for improving the accuracy (i.e. sensitivity and specificity) of these...
We present a novel method that combines ant colony optimization with support vector machines (ACO-SVM) to select candidate biomarkers from MALDI-TOF serum profiles of hepatocellular carcinoma (HCC) patients and matched controls. The method identified relevant mass points that achieve high sensitivity and specificity in distinguishing HCC patients from healthy individuals. The results indicate that...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.