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NameURLCategoryAttributionDescriptionOther Hypertext links
Microscopy Image Segmentationhttps://web.cci.emory.edu/confluence/display/INSILICO/SoftwareImagingJun Kong and Lee Cooper, Emory UniversityDeveloped by the Emory In Silico Research Center of Excellence, these tools support the segmentation of nuclei and angiogenesis regions in digitized pathology slide images. In Silico Research Centers of Excellence (ISRCE) - https://wiki.nci.nih.gov/x/BBdLAQ
Microscopy Image Segmentation - Grid serviceshttps://web.cci.emory.edu/confluence/display/INSILICO/SoftwareImagingTahsin Kurc and Jun Kong, Emory UniversityDeveloped by the Emory In Silico Research Center of Excellence, these caGrid services support the segmentation of nuclei and angiogenesis regions in digitized pathology slide images. In Silico Research Centers of Excellence - https://wiki.nci.nih.gov/x/BBdLAQ
Copy Number Moduleshttps://web.cci.emory.edu/confluence/display/INSILICO/SoftwareIntegrative Cancer ResearchLee Cooper and Carlos Moreno, Emory UniversityThis collection of software modules, developed by the Emory In Silico Research Center of Excellence, defines a pipeline for calculating copy number data for the REMBRANDT project. The data created by this pipeline was used to perform a GISTIC analysis to define significant copy number alterations in the transcriptionally defined tumor subtypes identified by TCGA. This pipeline operates on the raw Affymetrix 100K SNP CEL files and produces a list of altered regions for each sample. In Silico Research Centers of Excellence - https://wiki.nci.nih.gov/x/BBdLAQ
Region Classification Algorithms and Toolshttps://web.cci.emory.edu/confluence/display/INSILICO/SoftwareImagingSharath Cholleti, Emory UniversityDeveloped by the Emory In Silico Research Center of Excellence, these tools use a texton-based classification algorithm to classify an RGB imaging into tumor and normal regions.In Silico Research Centers of Excellence - https://wiki.nci.nih.gov/x/BBdLAQ
Region Classification Algorithms and Tools - Parallel Machineshttps://web.cci.emory.edu/confluence/display/INSILICO/SoftwareImagingSharath Cholleti, Emory University; Patrick Widener, Sandia National LabDeveloped by the Emory In Silico Research Center of Excellence, these tools use a texton-based classification algorithm to classify an RGB imaging into tumor and normal regions.In Silico Research Centers of Excellence - https://wiki.nci.nih.gov/x/BBdLAQ