Kaplan-Meir plots are very slow to render in study view when sample count is large

[alisman]

@inodb @dippindots i'm still convinced that we should just be aggressively sampling here, that in the context of the study view it's the general curve and that user doesn't need to able to mousover and find individusal samples?

https://genie-public-beta.cbioportal.org/study/summary?id=brca_akt1_genie_2019%2Claml_tcga_pan_can_atlas_2018%2Cacc_tcga_pan_can_atlas_2018%2Cblca_tcga_pan_can_atlas_2018%2Clgg_tcga_pan_can_atlas_2018%2Cbrca_tcga_pan_can_atlas_2018%2Ccesc_tcga_pan_can_atlas_2018%2Cchol_tcga_pan_can_atlas_2018%2Ccoadread_tcga_pan_can_atlas_2018%2Cglioma_dfci_2020%2Cdlbc_tcga_pan_can_atlas_2018%2Cerbb2_genie_public%2Cesca_tcga_pan_can_atlas_2018%2Ccrc_public_genie_bpc%2Cnsclc_public_genie_bpc%2Cgenie_public%2Cgbm_tcga_pan_can_atlas_2018%2Chnsc_tcga_pan_can_atlas_2018%2Ckich_tcga_pan_can_atlas_2018%2Ckirc_tcga_pan_can_atlas_2018%2Ckirp_tcga_pan_can_atlas_2018%2Clihc_tcga_pan_can_atlas_2018%2Cluad_tcga_pan_can_atlas_2018%2Clusc_tcga_pan_can_atlas_2018%2Cmeso_tcga_pan_can_atlas_2018%2Cmbc_genie_2020%2Cov_tcga_pan_can_atlas_2018%2Cpaad_tcga_pan_can_atlas_2018%2Cpcpg_tcga_pan_can_atlas_2018%2Cprad_tcga_pan_can_atlas_2018%2Csarc_tcga_pan_can_atlas_2018%2Cskcm_tcga_pan_can_atlas_2018%2Cstad_tcga_pan_can_atlas_2018%2Ctgct_tcga_pan_can_atlas_2018%2Cthym_tcga_pan_can_atlas_2018%2Cthca_tcga_pan_can_atlas_2018%2Cucs_tcga_pan_can_atlas_2018%2Cucec_tcga_pan_can_atlas_2018%2Cuvm_tcga_pan_can_atlas_2018

[inodb]

@alisman yea that makes sense to me - can def sample more aggressively. Seems like we are only applying sampling to OS, but not DFS, PFS, etc: