A fully scalable online pre-processing algorithm for short oligonucleotide microarray atlases.

ABSTRACT: Rapid accumulation of large and standardized microarray data collections is opening up novel opportunities for holistic characterization of genome function. The limited scalability of current preprocessing techniques has, however, formed a bottleneck for full utilization of these data resources. Although short oligonucleotide arrays constitute a major source of genome-wide profiling data, scalable probe-level techniques have been available only for few platforms based on pre-calculated probe effects from restricted reference training sets. To overcome these key limitations, we introduce a fully scalable online-learning algorithm for probe-level analysis and pre-processing of large microarray atlases involving tens of thousands of arrays. In contrast to the alternatives, our algorithm scale

SUBMITTER: Lahti L 

PROVIDER: S-EPMC3664815 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature