FATHMM-XF: accurate prediction of pathogenic point mutations via extended features-Reference-Cited by-同舟云学术

FATHMM-XF: accurate prediction of pathogenic point mutations via extended features

Published:2017-09-05 Issue:3 Volume:34 Page:511-513
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Rogers Mark F¹,Shihab Hashem A²,Mort Matthew³,Cooper David N³,Gaunt Tom R²,Campbell Colin¹

Affiliation:

1. Intelligent Systems Laboratory, University of Bristol, Bristol, UK

2. MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK

3. Institute of Medical Genetics, Cardiff University, Cardiff, UK

Funder

Engineering and Physical Sciences Research Council

EPSRC

Cardiff University

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/3/511/25117024/btx536.pdf

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4. The performance of deleteriousness prediction scores for rare non-protein-changing single nucleotide variants in human genes;Liu;J. Med. Genet,2017

5. The ENSEMBL variant effect predictor;McLaren;Genome Biol,2016

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