HiCglmi: Probing Factor-Dependent Long-Range Contacts using Regression with Higher-Order Interaction Terms

We propose a generalized linear regression with higher-order interaction terms to assess the influences of genomic features such as DNA-binding proteins and functional elements on long-range contacts from Hi-C experiments.

AuthorRaphael Mourad
Date of publication2016-10-17 18:59:53
MaintainerRaphael Mourad <raphael.mourad@ibcg.biotoul.fr>
LicenseGPL-2
Version1.0

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Files

HiCglmi
HiCglmi/inst
HiCglmi/inst/extdata
HiCglmi/inst/extdata/BEAF32_macs2_Kc167_dm3.bed
HiCglmi/NAMESPACE
HiCglmi/data
HiCglmi/data/dataExample.RData
HiCglmi/data/datalist
HiCglmi/R
HiCglmi/R/HiCglmiModel.R HiCglmi/R/HiCglmiMiscFun.R HiCglmi/R/HiCglmiProcData.R
HiCglmi/MD5
HiCglmi/build
HiCglmi/build/partial.rdb
HiCglmi/DESCRIPTION
HiCglmi/man
HiCglmi/man/HiCglmiProcData.Rd HiCglmi/man/HiCglmiModel.Rd HiCglmi/man/dataExample.Rd HiCglmi/man/createHiCDataset.Rd HiCglmi/man/HiCglmi-package.Rd HiCglmi/man/testDistancePowerLawDistrib.Rd HiCglmi/man/filterCouples.Rd HiCglmi/man/readGFBed.Rd HiCglmi/man/annotateHiCBin.Rd

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