BACKGROUND Influenza viruses are divided into three types, A, B, and C. Human influenza A and B viruses can cause seasonal epidemics, but influenza C causes only a mild respiratory illness. Influenza A virus can infect various host species. In 2013, human-infectious avian influenza A (H7N9) was first reported in China. By the second week of 2014, there were 210 laboratory-confirmed human cases ...

Background: This study investigated the association between long non-coding RNAs (lncRNAs) and coronary heart disease (CHD) further elucidated potential biological roles of lncRNAs in CHD pathogenesis. Methods: A case-control (590 patients 590 controls) was conducted from February 2017 March 2019 Fuzhou, China. Environmental factors were using questionnaires physical examinations. Five represen...

Time course microarray data consist of mRNA expression from a common set of genes collected at different time points. Such data are thought to reflect underlying biological processes developing over time. In this article, we propose a model that allows us to examine differential expression and gene network relationships using time course microarray data. We model each gene-expression profile as...

High dimensional data analytics is emerging research field in this digital world. The gene expression microarray data, remote sensor medical image, video are some of the examples high data. Feature subset selection challenging task for such To achieve diversity and accuracy with important aspect research. reduce time complexity parallel stepwise feature approach adopted paper. Our aim to enhanc...

Replication of time series in microarray experiments is costly. To analyze time series data with no replicate, many model-specific approaches have been proposed. However, they fail to identify the genes whose expression patterns do not fit the pre-defined models. Besides, modeling the temporal expression patterns is difficult when the dynamics of gene expression in the experiment is poorly unde...

Replication of time series in microarray experiments is costly. To analyze time series data with no replicate, many model-specific approaches have been proposed. However, they fail to identify the genes whose expression patterns do not fit the pre-defined models. Besides, modeling the temporal expression patterns is difficult when the dynamics of gene expression in the experiment is poorly unde...

This paper describes the use of real-time PCR for the confirmation of microarray data. Current publication guidelines require that all microarray results are confirmed by an independent gene expression profiling method. Real-time PCR is the method of choice for most researchers but it is not without drawbacks. The first step in confirming array results by real-time PCR is selection of gene-spec...