Cellprofiler analyst machine learning tools software#
Carpenter, Bioinformatics, DOI: 10.1093/bioinformatics/btw390ĬellProfiler Analyst: data exploration and analysis software for complex image-based screensīy Thouis R Jones, In Han Kang, Douglas B Wheeler, Robert A Lindquist, Adam Papallo, David M Sabatini, Polina Golland and Anne E Carpenter, BMC Bioinformatics 20089:482, DOI: 10. Fraser, Jane Hung, Vebjorn Ljosa, Shantanu Singh and Anne E. The Whitehead Institute for Biomedical Research and MIT's CSAIL.ĬellProfiler Analyst is distributed under the BSD License.ĬPA is described in the following publications:ĬellProfiler Analyst: interactive data exploration, analysis, and classification of large biological image setsīy David Dao, Adam N. CellProfiler Analyst’s primary tools: Image Gallerydisplays (full and cell) images with a variety of filter options and can be used interactively with other tools. Carpenter and Thouis (Ray) Jones in the laboratories of David M. The CellProfiler project is based at the Broad Institute Imaging Platform. CellProfiler Analyst 5.0/5 Review by Alexandra Sava on JCellProfiler Analyst is an application designed for academic research in the field of Biology. Please contact us to discuss contributing to CPA, or notify us of papers referencing CPA so that we can provide the link to the paper and its results. CPA provides tools for exploring and analyzing multidimensional data, particularly data from high-throughput, image-based experiments analyzed by its companion image analysis software, Phenotypes, for automatic scoring of millions of cells.
Included is a supervised machine learning system which can be trained to recognize complicated and subtle CellProfiler Analyst (CPA) allows interactive exploration and analysis of data, particularly from high-throughput, image-based experiments. Here we present a supervised machine learning approach that uses iterative feedback to readily score multiple subtle and complex morphological phenotypes in.
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