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This repository contains the codes and datasets used in the paper 'Clipper: p-value-free FDR control on high-throughput data from two conditions'. The preprint can be found at https://www.biorxiv.org/content/10.1101/2020.11.19.390773v3 1. codes_figures: codes for reproducing all the figures in the paper 2. codes_omics_data: codes used in all omics data analysis, including data preprocessing, synthetic data generation, and application of Clipper. 3. codes_simulation_data_generation: codes for simulation analysis, including generation of simulation datasets and calculation of power and FDR. 4. data_DEG_analysis: the processed human monocyte dataset 5. data_HIC_differentialanalysis: the processed HIC data for GM12878 cell line 6. data_simulation: all the simulation results
P-value, False discovery rate
P-value, False discovery rate
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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