Reconstructing Spatiotemporal Gene Expression Data from Partial Observations

Details Reconstructing Spatiotemporal Gene Expression Data from Partial Observations Reconstructing Spatiotemporal Gene Expression Data from Partial Observations

2009-03-24

arxiv.org/abs/0903.4027v1

Biology

Quantitative Biology

Genomics

19 pages, 4 figures

Scientific paper

Developmental transcriptional networks in plants and animals operate in both space and time. To understand these transcriptional networks it is essential to obtain whole-genome expression data at high spatiotemporal resolution. Substantial amounts of spatial and temporal microarray expression data previously have been obtained for the Arabidopsis root; however, these two dimensions of data have not been integrated thoroughly. Complicating this integration is the fact that these data are heterogeneous and incomplete, with observed expression levels representing complex spatial or temporal mixtures. Given these partial observations, we present a novel method for reconstructing integrated high resolution spatiotemporal data. Our method is based on a new iterative algorithm for finding approximate roots to systems of bilinear equations.

Affiliated with

Also associated with

No associations

Rating

Reconstructing Spatiotemporal Gene Expression Data from Partial Observations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Reconstructing Spatiotemporal Gene Expression Data from Partial Observations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Reconstructing Spatiotemporal Gene Expression Data from Partial Observations will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-347556