Agilent GeneSpring Analysis Platform is a powerful and accessible statistical tool for fast visualization and analysis of microarray data. Designed specifically for the needs of biologists, both GeneSpring GX and GeneSpring Workgroup offer an interactive computing environment that promotes investigation and enables understanding of microarray data within a biological context. Regarded as the gold standard in expression analysis, GeneSpring GX allows you to quickly and reliably identify targets of interest that are both statistically and biologically meaningful. GeneSpring GX has over 9,500 references in Google Scholar, including over 1,600 in peer-reviewed publications. Developed on avadis from Strand Life Sciences, GeneSpring GX and the enterprise-level GeneSpring Workgroup are part of Agilent’s GeneSpring Analysis Platform, an expanding suite of integrated software applications for systems-level research.
Agilent's GeneSpring Analysis Platform provides powerful statistical tools for fast visualization and analysis of microarray data. Designed specifically for the needs of biologists, both GeneSpring GX and GeneSpring Workgroup offer an interactive computing environment that promotes investigation and enables understanding of microarray data within a biological context.
GeneSpring GX facilitates integrated analysis of heterogeneous data types, such as gene expression, miRNA, exon splicing, genomic copy number, and genotyping. The software allows researchers to quickly analyze, compare, and view results from different experiments in a single user interface, addressing challenges in multi-omics analysis.
The software allows researchers to perform integrated analysis of heterogeneous data, including gene expression, miRNA, exon splicing, genomic copy number, and genotyping.
The toolkit includes parametric and non-parametric tests that support paired and unpaired experimental designs along with permutative and asymptotic p-value computation.
The software provides multiple classifiers including Decision Tree, Support Vector Machine, Naive Bayes, Neural Network, and Partial Least Squares Discriminant.