| pubmed-article:19860866 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:19860866 | lifeskim:mentions | umls-concept:C0017337 | lld:lifeskim |
| pubmed-article:19860866 | lifeskim:mentions | umls-concept:C1511726 | lld:lifeskim |
| pubmed-article:19860866 | lifeskim:mentions | umls-concept:C1709016 | lld:lifeskim |
| pubmed-article:19860866 | lifeskim:mentions | umls-concept:C1710360 | lld:lifeskim |
| pubmed-article:19860866 | pubmed:dateCreated | 2009-11-2 | lld:pubmed |
| pubmed-article:19860866 | pubmed:abstractText | The microarray data analysis realm is ever growing through the development of various tools, open source and commercial. However there is absence of predefined rational algorithmic analysis workflows or batch standardized processing to incorporate all steps, from raw data import up to the derivation of significantly differentially expressed gene lists. This absence obfuscates the analytical procedure and obstructs the massive comparative processing of genomic microarray datasets. Moreover, the solutions provided, heavily depend on the programming skills of the user, whereas in the case of GUI embedded solutions, they do not provide direct support of various raw image analysis formats or a versatile and simultaneously flexible combination of signal processing methods. | lld:pubmed |
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| pubmed-article:19860866 | pubmed:language | eng | lld:pubmed |
| pubmed-article:19860866 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19860866 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:19860866 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:19860866 | pubmed:issn | 1471-2105 | lld:pubmed |
| pubmed-article:19860866 | pubmed:author | pubmed-author:KolisisFragis... | lld:pubmed |
| pubmed-article:19860866 | pubmed:author | pubmed-author:Chatziioannou... | lld:pubmed |
| pubmed-article:19860866 | pubmed:author | pubmed-author:MoulosPanagio... | lld:pubmed |
| pubmed-article:19860866 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:19860866 | pubmed:volume | 10 | lld:pubmed |
| pubmed-article:19860866 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:19860866 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:19860866 | pubmed:pagination | 354 | lld:pubmed |
| pubmed-article:19860866 | pubmed:dateRevised | 2010-9-27 | lld:pubmed |
| pubmed-article:19860866 | pubmed:meshHeading | pubmed-meshheading:19860866... | lld:pubmed |
| pubmed-article:19860866 | pubmed:meshHeading | pubmed-meshheading:19860866... | lld:pubmed |
| pubmed-article:19860866 | pubmed:meshHeading | pubmed-meshheading:19860866... | lld:pubmed |
| pubmed-article:19860866 | pubmed:meshHeading | pubmed-meshheading:19860866... | lld:pubmed |
| pubmed-article:19860866 | pubmed:meshHeading | pubmed-meshheading:19860866... | lld:pubmed |
| pubmed-article:19860866 | pubmed:year | 2009 | lld:pubmed |
| pubmed-article:19860866 | pubmed:articleTitle | Gene ARMADA: an integrated multi-analysis platform for microarray data implemented in MATLAB. | lld:pubmed |
| pubmed-article:19860866 | pubmed:affiliation | Metabolic Engineering and Bioinformatics Group, Institute of Biological Research and Biotechnology, National Hellenic Research Foundation, 48 Vassileos Constantinou ave., 11635, Athens, Greece. achatzi@eie.gr | lld:pubmed |
| pubmed-article:19860866 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:19860866 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
