Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data

Lingfei Wang; Tom Michoel

doi:10.1371/journal.pcbi.1005703

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Open Access

Peer-reviewed

Research Article

Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data

Lingfei Wang,

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

Affiliation Division of Genetics and Genomics, The Roslin Institute, The University of Edinburgh, Easter Bush, Midlothian, United Kingdom

http://orcid.org/0000-0001-9175-7006

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Tom Michoel

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

* E-mail: Tom.Michoel@roslin.ed.ac.uk

Affiliation Division of Genetics and Genomics, The Roslin Institute, The University of Edinburgh, Easter Bush, Midlothian, United Kingdom

http://orcid.org/0000-0003-4749-4725

⨯

Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data

Lingfei Wang,
Tom Michoel

Published: August 18, 2017
https://doi.org/10.1371/journal.pcbi.1005703
See the preprint

About the Authors

Lingfei Wang

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

Affiliation Division of Genetics and Genomics, The Roslin Institute, The University of Edinburgh, Easter Bush, Midlothian, United Kingdom

http://orcid.org/0000-0001-9175-7006

Tom Michoel

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

* E-mail: Tom.Michoel@roslin.ed.ac.uk

Affiliation Division of Genetics and Genomics, The Roslin Institute, The University of Edinburgh, Easter Bush, Midlothian, United Kingdom

http://orcid.org/0000-0003-4749-4725

Competing Interests

The authors have declared that no competing interests exist.

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Gene expression
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Gene regulation
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MicroRNAs
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Genetic polymorphism
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Normal distribution
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Simulation and modeling
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