bioRxivBioinformaticsPreprint
ExpressWeb: A Web application for clustering and visualization of expression data.
Bruno Savelli, Sylvain Picard, Christophe Paul RouxiD, Christophe DunandiD
Abstract
The recent explosion of transcriptomics and proteomic data have resulted in vast amounts of datasets without connection and sometime too large to be easily analysed. Integration between datasets and analysis of an extracted datasets are limiting factors which need to be solved in order to make full use of the data and to connect data.\n\nExpressWeb is an online web tool that combines a Taylor clustering of expressed data sets to extract gene network with gene annotations to visualise the co-expression network. Data sets can become from personal or publically experiments. ExpressWeb allows to easily compute clustering on expression data and provides friendly and useful visualisation tools as heatmaps, graphs and networks, generating output images which can be used for scientific publications.
- assay: bulk RNA-seq
- assay: proteomics
- research focus: clustering
- research focus: gene regulatory network inference
- research focus: dimensionality reduction
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 5
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