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MIRMMR: binary classification of microsatellite instability using methylation and mutations
- Publication Year :
- 2017
- Publisher :
- Oxford University Press, 2017.
-
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. Availability and implementation Source code is freely available at https://github.com/ding-lab/MIRMMR under the MIT license, implemented in R and supported on Unix/OS X operating systems. Supplementary information Supplementary data are available at Bioinformatics online.
- Subjects :
- 0301 basic medicine
Statistics and Probability
Source code
media_common.quotation_subject
Computational biology
Biology
Biochemistry
03 medical and health sciences
0302 clinical medicine
Neoplasms
medicine
Humans
MIT License
Molecular Biology
media_common
Genetics
Unix
Microsatellite instability
Genomics
DNA Methylation
medicine.disease
Applications Notes
Computer Science Applications
Computational Mathematics
030104 developmental biology
Computational Theory and Mathematics
030220 oncology & carcinogenesis
Mutation (genetic algorithm)
DNA methylation
Mutation
OS X
Microsatellite
Microsatellite Instability
Software
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....661ff9b13f7e5f0ae204b510f1b53201