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Transcriptomic Data Analysis

With more than 20 years’ experience in transcriptomic data analysis, we have developed an unique algorithm for identification of expression patterns and target genes that are able to reflect biological features of cancers beyond pathological and immunochemical tests. Genes identified that are not reported in mechanism of cancer development could be valuable for your new research direction.

Data requirement: Whole transcriptomic data (Array or NGS) of 100 or more tumor samples. Information of study design and clinical prognosis are not needed before analysis is finished.
Result output: 
1. Expression pattern
2. Target genes with GO category under each expression pattern 


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