{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:03:16Z","timestamp":1761058996041},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: DataPflex is a MATLAB-based application that facilitates the manipulation and visualization of multidimensional datasets. The strength of DataPflex lies in the intuitive graphical user interface for the efficient incorporation, manipulation and visualization of high-dimensional data that can be generated by multiplexed protein measurement platforms including, but not limited to Luminex or Meso-Scale Discovery. Such data can generally be represented in the form of multidimensional datasets [for example (time \u00d7 stimulation \u00d7 inhibitor \u00d7 inhibitor concentration \u00d7 cell type \u00d7 measurement)]. For cases where measurements are made in a combinational fashion across multiple dimensions, there is a need for a tool to efficiently manipulate and reorganize such data for visualization. DataPflex accepts data consisting of up to five arbitrary dimensions in addition to a measurement dimension. Data are imported from a simple .xls format and can be exported to MATLAB or .xls. Data dimensions can be reordered, subdivided, merged, normalized and visualized in the form of collections of line graphs, bar graphs, surface plots, heatmaps, IC50\u2019s and other custom plots. Open source implementation in MATLAB enables easy extension for custom plotting routines and integration with more sophisticated analysis tools.<\/jats:p>\n               <jats:p>Availability: DataPflex is distributed under the GPL license (http:\/\/www.gnu.org\/licenses\/) together with documentation, source code and sample data files at: http:\/\/code.google.com\/p\/datapflex.<\/jats:p>\n               <jats:p>Contact: \u00a0DataPflexinfo@gmail.com; bhendriks@merrimackpharma.com<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btp667","type":"journal-article","created":{"date-parts":[[2009,12,5]],"date-time":"2009-12-05T02:17:54Z","timestamp":1259979474000},"page":"432-433","source":"Crossref","is-referenced-by-count":9,"title":["DataPflex: a MATLAB-based tool for the manipulation and visualization of multidimensional datasets"],"prefix":"10.1093","volume":"26","author":[{"given":"Bart S.","family":"Hendriks","sequence":"first","affiliation":[{"name":"Pfizer Research Technology Center, 620 Memorial Drive, Cambridge, MA 02139, USA"}]},{"given":"Christopher W.","family":"Espelin","sequence":"additional","affiliation":[{"name":"Pfizer Research Technology Center, 620 Memorial Drive, Cambridge, MA 02139, USA"}]}],"member":"286","published-online":{"date-parts":[[2009,12,4]]},"reference":[{"key":"2023012511000393000_B1","first-page":"5452","article-title":"A multipathway phosphoproteomic signaling network model of idiosyncratic drug- and inflammatory cytokine-induced toxicity in human hepatocytes","volume":"1","author":"Cosgrove","year":"2009","journal-title":"Conf Proc IEEE Eng Med Biol Soc."},{"key":"2023012511000393000_B2","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.taap.2009.04.002","article-title":"Synergistic drug-cytokine induction of hepatocellular death as an in vitro approach for the study of inflammation-associated idiosyncratic drug hepatotoxicity","volume":"237","author":"Cosgrove","year":"2009","journal-title":"Toxicol. 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