A novel computational approach for predicting complex phenotypes in Drosophila (starvation-sensitive and sterile) by deriving their gene expression signatures from public data-Reference-Cited by-同舟云学术

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A novel computational approach for predicting complex phenotypes in Drosophila (starvation-sensitive and sterile) by deriving their gene expression signatures from public data

Published:2020-10-26 Issue:10 Volume:15 Page:e0240824
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Ivanov Dobril K.^ORCID,Bostelmann Gerrit,Lan-Leung Benoit,Williams Julie,Partridge Linda,Escott-Price Valentina,Thornton Janet M.

Funder

Wellcome Trust

The Welsh Government

UK Dementia Research Institute

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference19 articles.

1. The Genotype-Tissue Expression (GTEx) project;Consortium GT;Nat Genet,2013

2. The endophenotype concept in psychiatric genetics;J Flint;Psychol Med,2007

3. affy—analysis of Affymetrix GeneChip data at the probe level;L Gautier;Bioinformatics,2004

4. A Two-Stage Procedure for the Removal of Batch Effects in Microarray Studies;M Giordan;Statistics in Biosciences,2014

5. Comparing functional annotation analyses with Catmap;T Breslin;BMC Bioinformatics,2004

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