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URL: http://bioinfo.cipf.es/noiseq/doku.php?id=start
Proper Citation: NOISeq (RRID:SCR_003002)
Description: Software used for the identification of differentially expressed genes from count data or previously normalized count data. It empirically models the noise distribution of count changes by contrasting fold-change differences (M) and absolute expression differences (D) for all the features in samples within the same condition. This reference distribution is then used to assess whether the M-D values computed between two conditions for a given gene is likely to be part of the noise or represent a true differential expression.
Resource Type: data analysis software, sequence analysis software, software resource, software application, data processing software
Defining Citation: DOI:10.1101/gr.124321.111
Keywords: differentially expressed genes, gene identification
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
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