Pinned Repositories
arhl-prs
DiseaseInteractiveNetwork
dnanexus_apps
genie_disease_network_sigmajs
Source code for interactive Disease-disease network generated by gephi
genie_heritability
GHTprediciton
hnc-prs-phewas
PRS model for head and neck cancer
InteractiveVis
The InteractiveVis project, funded by JISC from May to September 2012, aims to allow easy creation of interactive visualisations for geospatial and network data using native web technologies (HTML5, CSS3, and SVG) and allow these visualisations to be self-contained so that they may run entirely offline in ebooks and other media. The project will survey existing solutions and build the necessary components to fill in missing features and smooth over incompatibilities in between existing libraries. The project will further provide online hosted wizards to allow for the easy creation of these interactive visualizations. All code is open source and released under the GNU GPL v3 license.
netmage
vitaldb
dokyoonkimlab's Repositories
dokyoonkimlab/gout-prs
dokyoonkimlab/SynergizingLabelPropagation
synergizing label propagation with heterogeneous networks
dokyoonkimlab/glaucoma-prs-phewas
dokyoonkimlab/arhl-prs
dokyoonkimlab/hnc-prs-phewas
PRS model for head and neck cancer
dokyoonkimlab/adsp_compact_vcf
dokyoonkimlab/DiseaseInteractiveNetwork
dokyoonkimlab/GHTprediciton
dokyoonkimlab/vitaldb
dokyoonkimlab/netCRS
dokyoonkimlab/netmage
dokyoonkimlab/dnanexus_apps
dokyoonkimlab/worpdress-comment-reply-email-notification
Wordpress plugin that notifies a comment author when his comment receives a reply
dokyoonkimlab/ghs_pan_cancer
dokyoonkimlab/genie_compare_ukbb_jap
dokyoonkimlab/genie_disease_network
dokyoonkimlab/genie_heritability
dokyoonkimlab/genie_download_ukbb_jap_results
dokyoonkimlab/genie_disease_network_sigmajs
Source code for interactive Disease-disease network generated by gephi
dokyoonkimlab/EMCA_rare_variant
dokyoonkimlab/InteractiveVis
The InteractiveVis project, funded by JISC from May to September 2012, aims to allow easy creation of interactive visualisations for geospatial and network data using native web technologies (HTML5, CSS3, and SVG) and allow these visualisations to be self-contained so that they may run entirely offline in ebooks and other media. The project will survey existing solutions and build the necessary components to fill in missing features and smooth over incompatibilities in between existing libraries. The project will further provide online hosted wizards to allow for the easy creation of these interactive visualizations. All code is open source and released under the GNU GPL v3 license.