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MT-HESS: an efficient Bayesian approach for simultaneous association detection in OMICS datasets, with application to eQTL mapping in multiple tissues

Bioinformatics, 26 October 2015 [Peer Reviewed Journal]

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A Bayesian Approach for Analysis of Whole-Genome Bisulfite Sequencing Data Identifies Disease-Associated Changes in DNA Methylation

GENETICS, 30 March 2017 [Peer Reviewed Journal]

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Transcriptome-wide co-expression analysis identifies LRRC2 as a novel mediator of mitochondrial and cardiac function

PLoS ONE, 03 February 2017 [Peer Reviewed Journal]

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A Bayesian Approach for Analysis of Whole-Genome Bisulfite Sequencing Data Identifies Disease-Associated Changes in DNA Methylation

Genetics, Apr 2017, pp.1443-1458A [Peer Reviewed Journal]

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IL-11 is a crucial determinant of cardiovascular fibrosis

Nature, Dec 7, 2017, Vol.552(7683), pp.110-115,115A-115V [Peer Reviewed Journal]

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Changes in macrophage transcriptome associate with systemic sclerosis and mediate GSDMA contribution to disease risk

Annals of the Rheumatic Diseases, Apr 2018, p.596 [Peer Reviewed Journal]

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Systems genetics identifies a convergent gene network for cognition and neurodevelopmental disease

Nature Neuroscience, 27 January 2016 [Peer Reviewed Journal]

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A predictive computational framework for direct reprogramming between human cell types

Nature Genetics, February 2016, Vol.48(3), pp.331-335 [Peer Reviewed Journal]

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Temporal dynamics of Wnt-dependent transcriptome reveal an oncogenic Wnt/MYC/ribosome axis

Journal of Clinical Investigation, Dec 2018, Vol.128(12), pp.5620-5633 [Peer Reviewed Journal]

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Leveraging gene co-expression networks to pinpoint the regulation of complex traits and disease, with a focus on cardiovascular traits.

Briefings in functional genomics, January 2014, Vol.13(1), pp.66-78 [Peer Reviewed Journal]

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by this Author/Contributor:

  1. Petretto, Enrico
  2. Petretto, E.
  3. Bottolo, Leonardo
  4. Hubner, Norbert
  5. Cook, Stuart A

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