Learning and Imputation for Mass-spec Bias Reduction (LIMBR)-Reference-Cited by-同舟云学术

Learning and Imputation for Mass-spec Bias Reduction (LIMBR)

Published:2018-09-24 Issue:9 Volume:35 Page:1518-1526
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Crowell Alexander M¹^ORCID,Greene Casey S²^ORCID,Loros Jennifer J³,Dunlap Jay C¹

Affiliation:

1. Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA

2. Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

3. Department of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA

Funder

National Institutes of Health

Albert J. Ryan Fellowship

Gordon and Betty Moore Foundation

GBMF

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/35/9/1518/28557300/bty828.pdf

Reference34 articles.

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2. svapls: an R package to correct for hidden factors of variability in gene expression studies;Chakraborty;BMC Bioinformatics,2013

3. Defining the consequences of genetic variation on a proteome-wide scale;Chick;Nature,2016

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