Takes as input an Rds file for clustering module (.Rmd code)

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Takes as input an Rds file for clustering module (.Rmd code)

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Last edited Apr 20, 2018

Created on Apr 20, 2018

This example compares the read performance of RDS and Feather file formats for a single-cell clustering module object. It benchmarks loading the entire RDS object versus reading its four components (tsne, normalized expression, metadata, and marker list) as separate Feather files. The code uses the `feather`, `microbenchmark`, and `tibble` libraries, along with `readRDS()` and `write_feather()` functions, to measure mean execution times. The visualization shows autoplots of benchmark results, highlighting the time differences between the two storage approaches.

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