Deconvolving Cell Cycle Expression Data with Complementary Information


Budding index results

Figures for identified genes

Alignment results

Cho's list

800 genes list

Matlab implementation

In the study of many systems, cells are first synchronized so that large population of cells exhibit similar behavior. While synchronization can be achieved for a short time, We developed an algorithm which combines budding index and gene expression data to deconvolve expression profiles. This website provides additional information and results that were omitted (due to lack of space) from our submission. Follow the link on the left to view additional information and results that were omitted (due to lack of space) from our submission.

Examples of nine cell cycle genes from Spellman et al. When using only the alpha dataset, these gene cannot be detected without the deconvolution method described in our paper.