SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses-Reference-Cited by-同舟云学术

SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses

Published:2022-10 Issue:5 Volume:20 Page:912-927
ISSN:1672-0229
Container-title:Genomics, Proteomics & Bioinformatics
language:en
Short-container-title:Genomics, Proteomics & Bioinformatics

Author:

Lee Alexandra J.^ORCID,Mould Dallas L.^ORCID,Crawford Jake^ORCID,Hu Dongbo^ORCID,Powers Rani K.^ORCID,Doing Georgia^ORCID,Costello James C.^ORCID,Hogan Deborah A.^ORCID,Greene Casey S.^ORCID

Publisher

Elsevier BV

Subject

Computational Mathematics,Genetics,Molecular Biology,Biochemistry

Reference49 articles.

1. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;J R Stat Soc Ser B Methodol,1995

2. Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach;Storey;J R Stat Soc Ser B Stat Methodol,2004

3. Identifying differentially expressed genes using false discovery rate controlling procedures;Reiner;Bioinformatics,2003

4. How many biological replicates are needed in an RNA-seq experiment and which differential expression tool should you use?;Schurch;RNA,2016

5. Genomic expression programs in the response of yeast cells to environmental changes;Gasch;Mol Biol Cell,2000

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence applied to ‘omics data in liver disease: towards a personalised approach for diagnosis, prognosis and treatment;Gut;2024-08-22

2. N-of-one differential gene expression without control samples using a deep generative model;Genome Biology;2023-11-16

3. N-of-one differential gene expression without control samples using a deep generative model;2023-01-28

4. Artificial Intelligence in Omics;Genomics, Proteomics & Bioinformatics;2022-10