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. 2021 May 26;22:276. doi: 10.1186/s12859-021-04160-1

Correction to: Detecting differentially methylated regions using a fast wavelet-based approach to functional association analysis

William R P Denault 1,2,3,, Astanand Jugessur 1,2,3
PMCID: PMC8157621  PMID: 34039267

Correction to:BMC Bioinformatics (2021) 22:61 10.1186/s12859-021-03979-y

Following publication of the original article [1], the authors identified an error in Table 1. The correct Table 1 is given below.

Table 1.

Estimated type I error for different sample sizes and test functions

Test function n α level
0.5000 0.0100 0.0010 0.0001
Block 100 0.49980 0.00992 0.00111 0.00017
Block 500 0.50048 0.00978 0.00105 0.00009
Block 1000 0.49950 0.01028 0.00090 0.00014
Bump 100 0.50040 0.01026 0.00111 0.00004
Bump 500 0.50182 0.01040 0.00080 0.00009
Bump 1000 0.50050 0.00961 0.00098 0.00008
HeaviSine 100 0.50007 0.00982 0.00085 0.00009
HeaviSine 500 0.49956 0.00975 0.00091 0.00007
HeaviSine 1000 0.49965 0.01026 0.00103 0.00009
Doppler 100 0.50054 0.01014 0.00097 0.00009
Doppler 500 0.50089 0.01007 0.00100 0.00008
Doppler 1000 0.49916 0.01037 0.00095 0.00013

The author group has been updated above and the original article [1] has been corrected.

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Reference

  • 1.Denault WRP, Jugessur A. Detecting differentially methylated regions using a fast wavelet-based approach to functional association analysis. BMC Bioinform. 2021;22:61. doi: 10.1186/s12859-021-03979-y. [DOI] [PMC free article] [PubMed] [Google Scholar]

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