Inference of gene interaction networks using conserved subsequential patterns from multiple time course gene expression datasets

Table 4 Five subsequential patterns for case studies.

ID	dataset	#genes1	genes	bio-pathway
1	alpha38	6/7	YGL111W, YGR128C, YHR170W, YLR222C, YCR057C, YPL093W, YER006W	Ribosome biogenesis in Eukaryotes
2	alpha30	6/10	YGL116W, YGR099W, YGR109C, YIL026C, YLR103C, YMR031C, YPL144W, YPR113W, YDR113C, YER111C	Cell cycle - yeast
3	cdc15	7/12	YGL003C, YBR009C, YIL140W, YJL187C, YML027W, YMR199W, YNL030W, YOL007C YOR114W, YOR195W, YPL256C, YDL003W
4	cdc28	6/10	YGL027C, YJL187C, YLL022C, YLR103C, YMR199W, YPL153C, YDL003W, YDL018C YDR097C, YFL008W
5	alpha	6/14	YBR089W, YKL032C, YLR103C, YML102W, YCL061C, YNL233W, YNL339C, YPL256C YPR202W, YDL003W, YDL101C, YBL003C YER001W, YER111C

¹: in this column, X/Y denotes that the subsequential pattern contains Y genes and × genes are in the corresponding bio-pathways. Genes in bold are contained in the bio-pathways.

ISSN: 1471-2164