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Further, each sample is tested on multiple chips, but always in pools made up of different samples. The end goal is to exploit the compressibility of microarray data to reduce the number of chips used and increase the robustness to noise in measurements.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>A theoretical framework to perform smart pooling of mRNA samples in microarray experiments was established and the software implementation of the pooling and decoding algorithms was developed in MATLAB. A proof-of-concept smart pooled experiment was performed using validated biological samples on commercially available gene chips. Differential-expression analysis of the smart pooled data was performed and compared against the unpooled control experiment.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>The theoretical developments and experimental demonstration in this paper provide a useful starting point to investigate smart pooling of mRNA samples in microarray experiments. Although the smart pooled experiment did not compare favorably with the control, the experiment highlighted important conditions for the successful implementation of smart pooling - linearity of measurements, sparsity in data, and large experiment size.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2105-11-299","type":"journal-article","created":{"date-parts":[[2010,6,3]],"date-time":"2010-06-03T06:13:49Z","timestamp":1275545629000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["poolMC: Smart pooling of mRNA samples in microarray experiments"],"prefix":"10.1186","volume":"11","author":[{"given":"Raghunandan M","family":"Kainkaryam","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angela","family":"Bruex","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna C","family":"Gilbert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Schiefelbein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter J","family":"Woolf","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,6,2]]},"reference":[{"key":"3756_CR1","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1186\/1471-2105-4-26","volume":"4","author":"X Peng","year":"2003","unstructured":"Peng X, Wood C, Blalock E, Chen K, Landfield P, Stromberg A: Statistical implications of pooling RNA samples for microarray experiments. 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