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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pgen.1009443

https://doi.org/10.1371/journal.pgen.1009443

Assessing the co-variability of DNA methylation across peripheral cells and tissues: Implications for the interpretation of findings in epigenetic epidemiology

Cited by: 27
Author(s): Eilís Hannon, Georgina Mansell, Emma Walker, Marta F. Nabais, Joe Burrage, Agnieszka Kepa, Janis Best-Lane, Anna Rose, Suzanne Heck, Terrie E. Moffitt, Avshalom Caspi, Louise Arseneault, Jonathan Mill
Published: over 4 years ago

Software Mentions 5

bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: methylumi
Handle Illumina methylation data
Papers that mentioned: 75
Very Likely Science (100)
bioconductor: wateRmelon
Illumina 450 and EPIC methylation array normalization and metrics
Papers that mentioned: 108
Very Likely Science (98)
cran: lmerTest
Tests in Linear Mixed Effects Models
Papers that mentioned: 1,865
Very Likely Science (100)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)