Precision offers a full range of data analysis and data mining for gene expression and genomic experiments. Precision’s bioinformatics services are managed by Chief Scientific Officer Eric Bremer, Ph.D., and Director of Bioinformatics David George. In addition, they draw on the specialized knowledge of experts in statistics and data mining as appropriate for each study. The Precision team has more than 10 years of experience in the analysis of microarray data. The team’s work has been published in numerous peer-reviewed articles and has been recognized by multiple industry news articles and awards, including an InfoWorld 100 Award in 2003, a 2004 Best Practices in Informatics Award with SPSS from Bio-IT World, and designation as a Laureate of the Computer World Honors Foundation in 2004.
Precision’s bioinformatics tools include several proprietary quality control and data analysis methods that reduce the false positive rate in experimental comparisons. Precision’s tools also facilitate comparison with both a researcher’s historical data and other data sets. The team’s powerful data mining of scientific literature augments this data analysis by focusing and quickening the search for key findings, thus streamlining a researcher’s own development timeline.
Data Analysis
Statistical and model-based analysis of microarray chip data
Generation of differentially expressed gene lists
Corrected for false discovery rate
Corrected for high and low expression values
Data Mining
Identification and prioritization of target genes
Predictive analytics
Data integration with other data sets or databases
