mi4p-package: mi4p: Multiple Imputation for Proteomics

In mariechion/mi4p: Multiple Imputation for Proteomics

mi4p: Multiple Imputation for Proteomics

Description

A framework for multiple imputation for proteomics is proposed by Marie Chion, Christine Carapito and Frederic Bertrand (2021) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1371/journal.pcbi.1010420")}. It is dedicated to dealing with multiple imputation for proteomics.

Author(s)

Maintainer: Frederic Bertrand [e-mail] (ORCID)

Authors:

• Marie Chion [e-mail] (ORCID)

• Christine Carapito [e-mail] (ORCID)

Other contributors:

• Gordon Smyth [contributor]

• Davis McCarthy [contributor]

• Hélène Borges [contributor]

• Thomas Burger [contributor]

• Quentin Giai-Gianetto [contributor]

• Samuel Wieczorek [contributor]

References

M. Chion, Ch. Carapito and F. Bertrand (2021). Accounting for multiple imputation-induced variability for differential analysis in mass spectrometry-based label-free quantitative proteomics. \Sexpr[results=rd]{tools:::Rd_expr_doi("doi:10.1371/journal.pcbi.1010420")}

M. Chion, Ch. Carapito, F. Bertrand. Towards a more accurate differential analysis of multiple imputed proteomics data with mi4limma. Statistical Analysis of Proteomic Data: Methods and Tools, 2022. \Sexpr[results=rd]{tools:::Rd_expr_doi("doi:10.1007/978-1-0716-1967-4_7")}

See Also

Useful links:

• https://mariechion.github.io/mi4p/

• https://github.com/mariechion/mi4p/

• Report bugs at https://github.com/mariechion/mi4p/issues/

mariechion/mi4p documentation built on Oct. 3, 2024, 4:50 a.m.