What statistical analyses does GeneSpring do?
A. GeneSpring has many analyses designed for genomics: Clustering Gene trees (hierarchical dendrograms) K-means (non-hierarchical) Like a known gene or average of genes Like a pattern drawn with the mouse Selections of genes Genes selected with the mouse Genes with high confidence Genes with relative expression in certain ranges Comparison with existing knowledge Automatic function / pathway assignment, model building Comparison with results of old analyses Comparison with results of analyses by colleagues Pathway analysis finding genes that fit in a certain place in a pathway. Sequence analysis to automatically find regulatory sequences. Automatic functional annotation of sub-trees in dendrograms. General Analysis Find the most significant patterns in experiments (can be used for principal component analysis) Automatically detect skew-ness in experimental data.
