DNA microarrays--Statistical methods; Gene expression--Statistical methods
Data derived from gene expression microarrays are frequently used to identify candidate genes which can characterize and distinguish between two biological phenotypes. A key step in this process is the selection of an appropriate test statistic to...
Due to the complex nature of interactions at the genomic level as well as the large number of proteins present in an organism, understanding the functions of various genes that are expressed is essential. Creating an analysis pipeline for Expressed...
High-throughput sequencing has provided a myriad of genetic data for thousands of organisms. Computational analysis of one data type, expressed sequence tags (ESTs) yields insight into gene expression, alternative splicing, tissue specificity gene...
