Provides comprehensive information of tissue-specific genes derived from biomedical literatures and data mining of more than 123,125 gene expression profiles over 107 human tissues, 67 mouse tissues and 30 rat tissues. A statistical parameter SPM is introduced as a sensitive indicator in quantitative estimation of gene spatial expression patterns. This simple idea is also promising on the identification of time-specific/selective genes during development when high-quality microarray datasets are available in the future.
Key Laboratory for Cell Biology and Tumor Cell Engineering, the Ministry of Education of China, School of Life Sciences, Xiamen University, Xiamen, Fujian, China; The Key Laboratory for Chemical Biology of Fujian Province, School of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, China
TiSGeD funding source(s)
The support from the National Natural Science Foundation of China (NSFC#30873159), the Program for New Century Excellent Talents (NCET) of MOE and the Science Planning Program of Fujian Province (2009J1010) are gratefully acknowledged.