MIRMMR: Binary classification of microsatellite instability using methylation and mutations

Steven M. Foltz; Wen Wei Liang; Mingchao Xie; Li Ding

doi:10.1093/bioinformatics/btx507

MIRMMR: Binary classification of microsatellite instability using methylation and mutations

Steven M. Foltz, Wen Wei Liang, Mingchao Xie, Li Ding

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

Summary: MIRMMR predicts microsatellite instability status in cancer samples using methylation and mutation information, in contrast to existing methods that rely on observed microsatellites. Additionally, MIRMMR highlights those genetic alterations contributing to microsatellite instability.

Original language	English
Pages (from-to)	3799-3801
Number of pages	3
Journal	Bioinformatics
Volume	33
Issue number	23
DOIs	https://doi.org/10.1093/bioinformatics/btx507
State	Published - Dec 1 2017

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title = "MIRMMR: Binary classification of microsatellite instability using methylation and mutations",

abstract = "Summary: MIRMMR predicts microsatellite instability status in cancer samples using methylation and mutation information, in contrast to existing methods that rely on observed microsatellites. Additionally, MIRMMR highlights those genetic alterations contributing to microsatellite instability.",

author = "Foltz, {Steven M.} and Liang, {Wen Wei} and Mingchao Xie and Li Ding",

year = "2017",

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doi = "10.1093/bioinformatics/btx507",

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T2 - Binary classification of microsatellite instability using methylation and mutations

AU - Foltz, Steven M.

AU - Liang, Wen Wei

AU - Xie, Mingchao

AU - Ding, Li

PY - 2017/12/1

Y1 - 2017/12/1

N2 - Summary: MIRMMR predicts microsatellite instability status in cancer samples using methylation and mutation information, in contrast to existing methods that rely on observed microsatellites. Additionally, MIRMMR highlights those genetic alterations contributing to microsatellite instability.

AB - Summary: MIRMMR predicts microsatellite instability status in cancer samples using methylation and mutation information, in contrast to existing methods that rely on observed microsatellites. Additionally, MIRMMR highlights those genetic alterations contributing to microsatellite instability.

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U2 - 10.1093/bioinformatics/btx507

DO - 10.1093/bioinformatics/btx507

M3 - Article

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JO - Bioinformatics

JF - Bioinformatics

IS - 23

ER -

MIRMMR: Binary classification of microsatellite instability using methylation and mutations

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