Abstract
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.
Author supplied keywords
Cite
CITATION STYLE
Tusch, G., Tole, O., & Hoinski, M. E. (2015). A model for cross-platform searches in temporal microarray data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9105, pp. 153–158). Springer Verlag. https://doi.org/10.1007/978-3-319-19551-3_19
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
