Assessing the Concordance between 9 Deleteriousness Prediction Methods for Missense Variants in a Targeted Resequencing Study of a West of Ireland Breast Cancer Population

Michael Kerin

Assessing the Concordance between 9 Deleteriousness Prediction Methods for Missense Variants in a Targeted Resequencing Study of a West of Ireland Breast Cancer Population

Michael Kerin

Surgery

Research output: Other contribution (Published) › Other contribution

Original language	English (Ireland)
Media of output	Other Item
Volume	187
Publication status	Published - 1 Apr 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Cite this

@misc{cc30a87adcf14adfae44d68a8b3f6a62,

title = "Assessing the Concordance between 9 Deleteriousness Prediction Methods for Missense Variants in a Targeted Resequencing Study of a West of Ireland Breast Cancer Population",

author = "Michael Kerin",

year = "2018",

month = apr,

day = "1",

language = "English (Ireland)",

volume = "187",

type = "Other",

}