Analysis of Gene Expression Differences between Different Pancreatic Cells

The
pancreas is a complex glandular organ in the abdominal cavity
of humans. Pancreatic tissues contain different function regions that
participate in different biological processes. Moreover, pancreatic
cells can be clustered into different types according to their location
regions. Cells in different types are involved in different biological
functions as either endocrine or digestive. In this study, we investigated
the gene expression of pancreatic cells in six types, tried to identify
differentially expressed genes among different cell types, and obtained
pancreatic cell biomarkers. In detail, the Monte Carlo feature selection
(MCFS) method was performed on the dataset consisting of the gene
expression of 2282 pancreatic cells. The resulting feature list was
further used in the incremental feature selection method, with the
help of a support vector machine to extract important differentially
expressed genes. In addition, on the basis of the 776 informative
features yielded by the MCFS method, we set up 12 classification rules
via Johnson Reducer algorithm and Repeated Incremental Pruning to
Produce Error Reduction algorithm, which can assign cells into six
types. We did the enrichment analysis on obtained differentially expressed
genes and extensively analyzed the top 10 differentially expressed
genes and rules via literature reviewing, indicating that the results
of this study are quite reliable.