/resistant-fit-norm-bibe-2020

Supporting material and reproducing the experiments of the paper "Resistant Fit Regression Normalization for Single-cell RNA-seq Data" of BIBE 2020

Primary LanguageJupyter Notebook

Data

The data are download from 10x website.

Reproducibility

The code to reproduce the expriments are organized in code directory.

Supplementary

The conference paper and supplementary can be found in pdf directory.

In addition to the above biological explorations, we carried out two scenarios (SIM I and II) with Splatter to demonstrate that resistant fit normalization works under extreme differential expression and extreme drop-out rate. The simulation results are organized in the supplementary for readers' reference.

Contact

kuangda [at] seas [dot] upenn [dot] edu