Release 1.15.1 - BioConductor 3.13 (Development)

Bioconductor version: 3.13 (Development)
Depends: R (>= 4.1)

Permutation analysis, based on Monte Carlo sampling, for testing the hypothesis that the number of conserved differentially methylated elements, between several generations, is associated to an effect inherited from a treatment and that stochastic effect can be dismissed.

Author: Astrid Deschênes, Pascal Belleau and Arnaud Droit

Maintainer: Astrid Deschenes

Citation (from within R, enter citation("methylInheritance")):
Pascal Belleau, Astrid Deschênes, Marie-Pier Scott-Boyer, Romain Lambrot, Mathieu Dalvai, Sarah Kimmins, Janice Bailey, Arnaud Droit; Inferring and modeling inheritance of differentially methylated changes across multiple generations, Nucleic Acids Research, Volume 46, Issue 14, 21 August 2018, Pages e85. DOI: https://doi.org/10.1093/nar/gky362

Release 1.5.2 - BioConductor 3.8 (Development)

Bioconductor version: 3.8 (Development)
Depends: R (>= 3.4)

Permutation analysis, based on Monte Carlo sampling, for testing the hypothesis that the number of conserved differentially methylated elements, between several generations, is associated to an effect inherited from a treatment and that stochastic effect can be dismissed.

Author: Astrid Deschênes, Pascal Belleau and Arnaud Droit

Maintainer: Astrid Deschenes

Citation (from within R, enter citation("methylInheritance")):
Pascal Belleau, Astrid Deschênes, Marie-Pier Scott-Boyer, Romain Lambrot, Mathieu Dalvai, Sarah Kimmins, Janice Bailey, Arnaud Droit; Inferring and modeling inheritance of differentially methylated changes across multiple generations, Nucleic Acids Research, Volume 46, Issue 14, 21 August 2018, Pages e85. DOI: https://doi.org/10.1093/nar/gky362

Release 1.3.1 - BioConductor 3.7 (Development)

Bioconductor version: 3.7 (Development)
Depends: R (>= 3.4)

Permutation analysis, based on Monte Carlo sampling, for testing the hypothesis that the number of conserved differentially methylated elements, between several generations, is associated to an effect inherited from a treatment and that stochastic effect can be dismissed.

Author: Astrid Deschênes, Pascal Belleau and Arnaud Droit

Maintainer: Astrid Deschenes

Citation (from within R, enter citation("methylInheritance")):
Deschênes A, Belleau P and Droit A (2016). methylInheritance: Permutation-Based Analysis associating Conserved Differentially Methylated Elements from One Generation to the Next to a Treatment Effect. R package version 1.3.1. https://github.com/adeschen/methylInheritance.

Release 1.3.0 - BioConductor 3.7 (Development)

Bioconductor version: 3.7 (Development)

Permutation analysis, based on Monte Carlo sampling, for testing the hypothesis that the number of conserved differentially methylated elements, between several generations, is associated to an effect inherited from a treatment and that stochastic effect can be dismissed.

Author: Astrid Deschênes, Pascal Belleau and Arnaud Droit

Maintainer: Astrid Deschenes

Citation (from within R, enter citation("methylInheritance")):
Deschênes A, Belleau P and Droit A (2016). methylInheritance: Permutation-Based Analysis associating Conserved Differentially Methylated Elements from One Generation to the Next to a Treatment Effect. R package version 1.3.0, https://github.com/adeschen/methylInheritance.

Release 1.2.0 - BioConductor 3.6 (Release)

Bioconductor version: 3.6 (Release)

Permutation analysis, based on Monte Carlo sampling, for testing the hypothesis that the number of conserved differentially methylated elements, between several generations, is associated to an effect inherited from a treatment and that stochastic effect can be dismissed.

Author: Astrid Deschênes, Pascal Belleau and Arnaud Droit

Maintainer: Astrid Deschenes

Citation (from within R, enter citation("methylInheritance")):
Deschênes A, Belleau P and Droit A (2016). methylInheritance: Permutation-Based Analysis associating Conserved Differentially Methylated Elements from One Generation to the Next to a Treatment Effect. R package version 1.2.0, https://github.com/adeschen/methylInheritance.

Release 1.1.3 - BioConductor 3.6 (Development)

Bioconductor version: 3.6 (Development)
Depends: R (>= 3.4)

Permutation analysis, based on Monte Carlo sampling, for testing the hypothesis that the number of conserved differentially methylated elements, between several generations, is associated to an effect inherited from a treatment and that stochastic effect can be dismissed.

Author: Astrid Deschênes, Pascal Belleau and Arnaud Droit

Maintainer: Astrid Deschenes

Citation (from within R, enter citation("methylInheritance")):
Deschênes A, Belleau P and Droit A (2016). methylInheritance: Permutation-Based Analysis associating Conserved Differentially Methylated Elements from One Generation to the Next to a Treatment Effect. R package version 1.1.3, https://github.com/adeschen/methylInheritance.