A Model for Cross-Platform Searches in Temporal Microarray Data

Even with the advance of next-generation sequencing, microarray technology still has its place in molecular biology. There is a large body of information available through a growing number of studies in public repositories like NCBI GEO and ArrayExpress. Software is now developed to allow for cross-platform comparison. An important part of temporal translational research is based on stimulus response studies and includes searching for particular time pattern like peaks in a set of given genes across studies and platforms. This study explores the feasibility based on a statistical model and temporal abstraction using our SPOT software.

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