CGIMP: Real-time exploration and covariate projection for self-organizing map datasets

Python JavaScript Submitted 04 June 2019Published 10 July 2019
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Editor: @lpantano (all papers)
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Authors

Adam G. Diehl (0000-0002-0915-4570), Alan P. Boyle (0000-0002-2081-1105)

Citation

Diehl et al., (2019). CGIMP: Real-time exploration and covariate projection for self-organizing map datasets. Journal of Open Source Software, 4(39), 1520, https://doi.org/10.21105/joss.01520

@article{Diehl2019, doi = {10.21105/joss.01520}, url = {https://doi.org/10.21105/joss.01520}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {39}, pages = {1520}, author = {Adam G. Diehl and Alan P. Boyle}, title = {CGIMP: Real-time exploration and covariate projection for self-organizing map datasets}, journal = {Journal of Open Source Software} }
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neural networks self organizing maps genomics data visualization Javascript

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ISSN 2475-9066