Background: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with ...
Abstract—Recent improvements in high-throughput genotyping technology make possible genome-wide association studies and status prediction (classification) for common complex dis...
— Computational prediction of transcription factor’s binding sites and regulatory target genes has great value to the biological studies of cellular process. Existing practices...
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...