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We present an application of interactive dimensionality reduction (DR) for exploratory analysis of gene expression data that produces two lively updated projections, a sample map and a gene map, by rendering intermediate results of a t-SNE. The user can condition the projections "on the fly" by subsets of genes or samples, so updated views reveal coexpression patterns for different cancer types or gene groups. * This work is part of Grant PID2020-115401GB-I00 funded by MCIN/AEI/ 10.13039/501100011033. The results shown here are based upon data generated by the TCGA Research Network: https://www.cancer.gov/tcga.

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